Added GCP and Minikube output (#59)

* Added a config to create Minikube k8s, uses hostpath volumes
* Reworked templater to produce docker compose and minikube output
* Fix config templates
This commit is contained in:
cybermaggedon 2024-09-09 17:16:50 +01:00 committed by GitHub
parent f661791bbf
commit 0ae6feddb0
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62 changed files with 37961 additions and 7077 deletions

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@ -1,6 +1,6 @@
# VERSION=$(shell git describe | sed 's/^v//')
VERSION=0.9.3
VERSION=0.10.0
DOCKER=podman
@ -50,29 +50,54 @@ VECTORDB=qdrant
JSONNET_FLAGS=-J templates -J .
update-templates: set-version
update-templates: update-dcs update-minikubes
JSON_TO_YAML=python3 -c 'import sys, yaml, json; j=json.loads(sys.stdin.read()); print(yaml.safe_dump(j))'
# JSON_TO_YAML=cat
update-dcs: set-version
rm -rf deploy
mkdir -p deploy/docker-compose deploy/minikube
for graph in ${GRAPHS}; do \
cm=$${graph},pulsar,${VECTORDB},grafana; \
input=templates/main.jsonnet; \
output=tg-storage-$${graph}.yaml; \
input=templates/opts-to-docker-compose.jsonnet; \
output=deploy/docker-compose/tg-storage-$${graph}.yaml; \
echo $${graph} '->' $${output}; \
jsonnet ${JSONNET_FLAGS} \
--ext-str options=$${cm} -S $${input} > $${output}; \
--ext-str options=$${cm} $${input} | \
${JSON_TO_YAML} > $${output}; \
done
for model in ${MODELS}; do \
for graph in ${GRAPHS}; do \
cm=$${graph},pulsar,${VECTORDB},embeddings-hf,graph-rag,grafana,trustgraph,$${model}; \
input=templates/main.jsonnet; \
output=tg-launch-$${model}-$${graph}.yaml; \
input=templates/opts-to-docker-compose.jsonnet; \
output=deploy/docker-compose/tg-launch-$${model}-$${graph}.yaml; \
echo $${model} + $${graph} '->' $${output}; \
jsonnet ${JSONNET_FLAGS} \
--ext-str options=$${cm} -S $${input} > $${output}; \
--ext-str options=$${cm} $${input} | \
${JSON_TO_YAML} > $${output}; \
done; \
done
config.yaml: config.json FORCE
jsonnet -J . -J templates/ templates/config-to-k8s.jsonnet | \
python3 -c 'import sys, yaml, json; j=json.loads(sys.stdin.read()); print(yaml.safe_dump(j))' > $@
update-minikubes: set-version
for model in ${MODELS}; do \
for graph in ${GRAPHS}; do \
cm=$${graph},pulsar,${VECTORDB},embeddings-hf,graph-rag,grafana,trustgraph,$${model}; \
input=templates/opts-to-minikube-k8s.jsonnet; \
output=deploy/minikube/tg-launch-$${model}-$${graph}.yaml; \
echo $${model} + $${graph} '->' $${output}; \
jsonnet ${JSONNET_FLAGS} \
--ext-str options=$${cm} $${input} | \
${JSON_TO_YAML} > $${output}; \
done; \
done
FORCE:
IGNOREconfig.yaml: config.json FORCE
jsonnet -J . -J templates/ templates/config-to-gcp-k8s.jsonnet | \
python3 -c 'import sys, yaml, json; j=json.loads(sys.stdin.read()); print(yaml.safe_dump(j))' > $@
config.yaml: config.json FORCE
jsonnet -J . -J templates/ templates/config-to-minikube-k8s.jsonnet | \
python3 -c 'import sys, yaml, json; j=json.loads(sys.stdin.read()); print(yaml.safe_dump(j))' > $@

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@ -0,0 +1,721 @@
services:
cassandra:
deploy:
resources:
limits:
cpus: '1.0'
memory: 800M
reservations:
cpus: '0.5'
memory: 800M
environment:
JVM_OPTS: -Xms256M -Xmx256M
image: docker.io/cassandra:4.1.6
ports:
- 9042:9042
restart: on-failure:100
volumes:
- cassandra:/var/lib/cassandra
chunker:
command:
- chunker-token
- -p
- pulsar://pulsar:6650
- --chunk-size
- '250'
- --chunk-overlap
- '15'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
embeddings:
command:
- embeddings-hf
- -p
- pulsar://pulsar:6650
- -m
- all-MiniLM-L6-v2
deploy:
resources:
limits:
cpus: '1.0'
memory: 400M
reservations:
cpus: '0.5'
memory: 400M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
graph-rag:
command:
- graph-rag
- -p
- pulsar://pulsar:6650
- --prompt-request-queue
- non-persistent://tg/request/prompt-rag
- --prompt-response-queue
- non-persistent://tg/response/prompt-rag-response
- --entity-limit
- '50'
- --triple-limit
- '30'
- --max-subgraph-size
- '3000'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
kg-extract-definitions:
command:
- kg-extract-definitions
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
kg-extract-relationships:
command:
- kg-extract-relationships
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pdf-decoder:
command:
- pdf-decoder
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
prompt:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- --text-completion-request-queue
- non-persistent://tg/request/text-completion
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prompt-rag:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- -i
- non-persistent://tg/request/prompt-rag
- -o
- non-persistent://tg/response/prompt-rag-response
- --text-completion-request-queue
- non-persistent://tg/request/text-completion-rag
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-rag-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.1'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion:
command:
- text-completion-azure
- -p
- pulsar://pulsar:6650
- -k
- ${AZURE_TOKEN}
- -e
- ${AZURE_ENDPOINT}
- -x
- '4096'
- -t
- '0'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion-rag:
command:
- text-completion-azure
- -p
- pulsar://pulsar:6650
- -k
- ${AZURE_TOKEN}
- -e
- ${AZURE_ENDPOINT}
- -x
- '4096'
- -t
- '0'
- -i
- non-persistent://tg/request/text-completion-rag
- -o
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
vectorize:
command:
- embeddings-vectorize
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '1.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
cassandra: {}
grafana-storage: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

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@ -0,0 +1,722 @@
services:
chunker:
command:
- chunker-token
- -p
- pulsar://pulsar:6650
- --chunk-size
- '250'
- --chunk-overlap
- '15'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
embeddings:
command:
- embeddings-hf
- -p
- pulsar://pulsar:6650
- -m
- all-MiniLM-L6-v2
deploy:
resources:
limits:
cpus: '1.0'
memory: 400M
reservations:
cpus: '0.5'
memory: 400M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
graph-rag:
command:
- graph-rag
- -p
- pulsar://pulsar:6650
- --prompt-request-queue
- non-persistent://tg/request/prompt-rag
- --prompt-response-queue
- non-persistent://tg/response/prompt-rag-response
- --entity-limit
- '50'
- --triple-limit
- '30'
- --max-subgraph-size
- '3000'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
kg-extract-definitions:
command:
- kg-extract-definitions
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
kg-extract-relationships:
command:
- kg-extract-relationships
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
neo4j:
deploy:
resources:
limits:
cpus: '1.0'
memory: 768M
reservations:
cpus: '0.5'
memory: 768M
environment:
NEO4J_AUTH: neo4j/password
image: docker.io/neo4j:5.22.0-community-bullseye
ports:
- 7474:7474
- 7687:7687
restart: on-failure:100
volumes:
- neo4j:/data
pdf-decoder:
command:
- pdf-decoder
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
prompt:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- --text-completion-request-queue
- non-persistent://tg/request/text-completion
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prompt-rag:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- -i
- non-persistent://tg/request/prompt-rag
- -o
- non-persistent://tg/response/prompt-rag-response
- --text-completion-request-queue
- non-persistent://tg/request/text-completion-rag
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-rag-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion:
command:
- text-completion-azure
- -p
- pulsar://pulsar:6650
- -k
- ${AZURE_TOKEN}
- -e
- ${AZURE_ENDPOINT}
- -x
- '4096'
- -t
- '0'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion-rag:
command:
- text-completion-azure
- -p
- pulsar://pulsar:6650
- -k
- ${AZURE_TOKEN}
- -e
- ${AZURE_ENDPOINT}
- -x
- '4096'
- -t
- '0'
- -i
- non-persistent://tg/request/text-completion-rag
- -o
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
vectorize:
command:
- embeddings-vectorize
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '1.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
grafana-storage: {}
neo4j: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

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@ -0,0 +1,729 @@
services:
cassandra:
deploy:
resources:
limits:
cpus: '1.0'
memory: 800M
reservations:
cpus: '0.5'
memory: 800M
environment:
JVM_OPTS: -Xms256M -Xmx256M
image: docker.io/cassandra:4.1.6
ports:
- 9042:9042
restart: on-failure:100
volumes:
- cassandra:/var/lib/cassandra
chunker:
command:
- chunker-recursive
- -p
- pulsar://pulsar:6650
- --chunk-size
- '2000'
- --chunk-overlap
- '100'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
embeddings:
command:
- embeddings-hf
- -p
- pulsar://pulsar:6650
- -m
- all-MiniLM-L6-v2
deploy:
resources:
limits:
cpus: '1.0'
memory: 400M
reservations:
cpus: '0.5'
memory: 400M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
graph-rag:
command:
- graph-rag
- -p
- pulsar://pulsar:6650
- --prompt-request-queue
- non-persistent://tg/request/prompt-rag
- --prompt-response-queue
- non-persistent://tg/response/prompt-rag-response
- --entity-limit
- '50'
- --triple-limit
- '30'
- --max-subgraph-size
- '3000'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
kg-extract-definitions:
command:
- kg-extract-definitions
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
kg-extract-relationships:
command:
- kg-extract-relationships
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pdf-decoder:
command:
- pdf-decoder
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
prompt:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- --text-completion-request-queue
- non-persistent://tg/request/text-completion
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prompt-rag:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- -i
- non-persistent://tg/request/prompt-rag
- -o
- non-persistent://tg/response/prompt-rag-response
- --text-completion-request-queue
- non-persistent://tg/request/text-completion-rag
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-rag-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.1'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion:
command:
- text-completion-bedrock
- -p
- pulsar://pulsar:6650
- -z
- ${AWS_ID_KEY}
- -k
- ${AWS_SECRET_KEY}
- -r
- us-west-2
- -x
- '4096'
- -t
- '0'
- -m
- mistral.mixtral-8x7b-instruct-v0:1
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion-rag:
command:
- text-completion-bedrock
- -p
- pulsar://pulsar:6650
- -z
- ${AWS_ID_KEY}
- -k
- ${AWS_SECRET_KEY}
- -r
- us-west-2
- -x
- '4096'
- -t
- '0'
- -m
- mistral.mixtral-8x7b-instruct-v0:1
- -i
- non-persistent://tg/request/text-completion-rag
- -o
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
vectorize:
command:
- embeddings-vectorize
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '1.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
cassandra: {}
grafana-storage: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

View file

@ -0,0 +1,730 @@
services:
chunker:
command:
- chunker-recursive
- -p
- pulsar://pulsar:6650
- --chunk-size
- '2000'
- --chunk-overlap
- '100'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
embeddings:
command:
- embeddings-hf
- -p
- pulsar://pulsar:6650
- -m
- all-MiniLM-L6-v2
deploy:
resources:
limits:
cpus: '1.0'
memory: 400M
reservations:
cpus: '0.5'
memory: 400M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
graph-rag:
command:
- graph-rag
- -p
- pulsar://pulsar:6650
- --prompt-request-queue
- non-persistent://tg/request/prompt-rag
- --prompt-response-queue
- non-persistent://tg/response/prompt-rag-response
- --entity-limit
- '50'
- --triple-limit
- '30'
- --max-subgraph-size
- '3000'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
kg-extract-definitions:
command:
- kg-extract-definitions
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
kg-extract-relationships:
command:
- kg-extract-relationships
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
neo4j:
deploy:
resources:
limits:
cpus: '1.0'
memory: 768M
reservations:
cpus: '0.5'
memory: 768M
environment:
NEO4J_AUTH: neo4j/password
image: docker.io/neo4j:5.22.0-community-bullseye
ports:
- 7474:7474
- 7687:7687
restart: on-failure:100
volumes:
- neo4j:/data
pdf-decoder:
command:
- pdf-decoder
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
prompt:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- --text-completion-request-queue
- non-persistent://tg/request/text-completion
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prompt-rag:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- -i
- non-persistent://tg/request/prompt-rag
- -o
- non-persistent://tg/response/prompt-rag-response
- --text-completion-request-queue
- non-persistent://tg/request/text-completion-rag
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-rag-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion:
command:
- text-completion-bedrock
- -p
- pulsar://pulsar:6650
- -z
- ${AWS_ID_KEY}
- -k
- ${AWS_SECRET_KEY}
- -r
- us-west-2
- -x
- '4096'
- -t
- '0'
- -m
- mistral.mixtral-8x7b-instruct-v0:1
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion-rag:
command:
- text-completion-bedrock
- -p
- pulsar://pulsar:6650
- -z
- ${AWS_ID_KEY}
- -k
- ${AWS_SECRET_KEY}
- -r
- us-west-2
- -x
- '4096'
- -t
- '0'
- -m
- mistral.mixtral-8x7b-instruct-v0:1
- -i
- non-persistent://tg/request/text-completion-rag
- -o
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
vectorize:
command:
- embeddings-vectorize
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '1.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
grafana-storage: {}
neo4j: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

View file

@ -0,0 +1,717 @@
services:
cassandra:
deploy:
resources:
limits:
cpus: '1.0'
memory: 800M
reservations:
cpus: '0.5'
memory: 800M
environment:
JVM_OPTS: -Xms256M -Xmx256M
image: docker.io/cassandra:4.1.6
ports:
- 9042:9042
restart: on-failure:100
volumes:
- cassandra:/var/lib/cassandra
chunker:
command:
- chunker-token
- -p
- pulsar://pulsar:6650
- --chunk-size
- '250'
- --chunk-overlap
- '15'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
embeddings:
command:
- embeddings-hf
- -p
- pulsar://pulsar:6650
- -m
- all-MiniLM-L6-v2
deploy:
resources:
limits:
cpus: '1.0'
memory: 400M
reservations:
cpus: '0.5'
memory: 400M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
graph-rag:
command:
- graph-rag
- -p
- pulsar://pulsar:6650
- --prompt-request-queue
- non-persistent://tg/request/prompt-rag
- --prompt-response-queue
- non-persistent://tg/response/prompt-rag-response
- --entity-limit
- '50'
- --triple-limit
- '30'
- --max-subgraph-size
- '3000'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
kg-extract-definitions:
command:
- kg-extract-definitions
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
kg-extract-relationships:
command:
- kg-extract-relationships
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pdf-decoder:
command:
- pdf-decoder
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
prompt:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- --text-completion-request-queue
- non-persistent://tg/request/text-completion
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prompt-rag:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- -i
- non-persistent://tg/request/prompt-rag
- -o
- non-persistent://tg/response/prompt-rag-response
- --text-completion-request-queue
- non-persistent://tg/request/text-completion-rag
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-rag-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.1'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion:
command:
- text-completion-claude
- -p
- pulsar://pulsar:6650
- -k
- ${CLAUDE_KEY}
- -x
- '4096'
- -t
- '0'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion-rag:
command:
- text-completion-claude
- -p
- pulsar://pulsar:6650
- -k
- ${CLAUDE_KEY}
- -x
- '4096'
- -t
- '0'
- -i
- non-persistent://tg/request/text-completion-rag
- -o
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
vectorize:
command:
- embeddings-vectorize
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '1.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
cassandra: {}
grafana-storage: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

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@ -0,0 +1,718 @@
services:
chunker:
command:
- chunker-token
- -p
- pulsar://pulsar:6650
- --chunk-size
- '250'
- --chunk-overlap
- '15'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
embeddings:
command:
- embeddings-hf
- -p
- pulsar://pulsar:6650
- -m
- all-MiniLM-L6-v2
deploy:
resources:
limits:
cpus: '1.0'
memory: 400M
reservations:
cpus: '0.5'
memory: 400M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
graph-rag:
command:
- graph-rag
- -p
- pulsar://pulsar:6650
- --prompt-request-queue
- non-persistent://tg/request/prompt-rag
- --prompt-response-queue
- non-persistent://tg/response/prompt-rag-response
- --entity-limit
- '50'
- --triple-limit
- '30'
- --max-subgraph-size
- '3000'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
kg-extract-definitions:
command:
- kg-extract-definitions
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
kg-extract-relationships:
command:
- kg-extract-relationships
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
neo4j:
deploy:
resources:
limits:
cpus: '1.0'
memory: 768M
reservations:
cpus: '0.5'
memory: 768M
environment:
NEO4J_AUTH: neo4j/password
image: docker.io/neo4j:5.22.0-community-bullseye
ports:
- 7474:7474
- 7687:7687
restart: on-failure:100
volumes:
- neo4j:/data
pdf-decoder:
command:
- pdf-decoder
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
prompt:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- --text-completion-request-queue
- non-persistent://tg/request/text-completion
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prompt-rag:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- -i
- non-persistent://tg/request/prompt-rag
- -o
- non-persistent://tg/response/prompt-rag-response
- --text-completion-request-queue
- non-persistent://tg/request/text-completion-rag
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-rag-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion:
command:
- text-completion-claude
- -p
- pulsar://pulsar:6650
- -k
- ${CLAUDE_KEY}
- -x
- '4096'
- -t
- '0'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion-rag:
command:
- text-completion-claude
- -p
- pulsar://pulsar:6650
- -k
- ${CLAUDE_KEY}
- -x
- '4096'
- -t
- '0'
- -i
- non-persistent://tg/request/text-completion-rag
- -o
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
vectorize:
command:
- embeddings-vectorize
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '1.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
grafana-storage: {}
neo4j: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

View file

@ -0,0 +1,713 @@
services:
cassandra:
deploy:
resources:
limits:
cpus: '1.0'
memory: 800M
reservations:
cpus: '0.5'
memory: 800M
environment:
JVM_OPTS: -Xms256M -Xmx256M
image: docker.io/cassandra:4.1.6
ports:
- 9042:9042
restart: on-failure:100
volumes:
- cassandra:/var/lib/cassandra
chunker:
command:
- chunker-token
- -p
- pulsar://pulsar:6650
- --chunk-size
- '150'
- --chunk-overlap
- '10'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
embeddings:
command:
- embeddings-hf
- -p
- pulsar://pulsar:6650
- -m
- all-MiniLM-L6-v2
deploy:
resources:
limits:
cpus: '1.0'
memory: 400M
reservations:
cpus: '0.5'
memory: 400M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
graph-rag:
command:
- graph-rag
- -p
- pulsar://pulsar:6650
- --prompt-request-queue
- non-persistent://tg/request/prompt-rag
- --prompt-response-queue
- non-persistent://tg/response/prompt-rag-response
- --entity-limit
- '50'
- --triple-limit
- '30'
- --max-subgraph-size
- '3000'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
kg-extract-definitions:
command:
- kg-extract-definitions
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
kg-extract-relationships:
command:
- kg-extract-relationships
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pdf-decoder:
command:
- pdf-decoder
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
prompt:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- --text-completion-request-queue
- non-persistent://tg/request/text-completion
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prompt-rag:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- -i
- non-persistent://tg/request/prompt-rag
- -o
- non-persistent://tg/response/prompt-rag-response
- --text-completion-request-queue
- non-persistent://tg/request/text-completion-rag
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-rag-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.1'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion:
command:
- text-completion-cohere
- -p
- pulsar://pulsar:6650
- -k
- ${COHERE_KEY}
- -t
- 0
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion-rag:
command:
- text-completion-cohere
- -p
- pulsar://pulsar:6650
- -k
- ${COHERE_KEY}
- -t
- 0
- -i
- non-persistent://tg/request/text-completion-rag
- -o
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
vectorize:
command:
- embeddings-vectorize
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '1.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
cassandra: {}
grafana-storage: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

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@ -0,0 +1,714 @@
services:
chunker:
command:
- chunker-token
- -p
- pulsar://pulsar:6650
- --chunk-size
- '150'
- --chunk-overlap
- '10'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
embeddings:
command:
- embeddings-hf
- -p
- pulsar://pulsar:6650
- -m
- all-MiniLM-L6-v2
deploy:
resources:
limits:
cpus: '1.0'
memory: 400M
reservations:
cpus: '0.5'
memory: 400M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
graph-rag:
command:
- graph-rag
- -p
- pulsar://pulsar:6650
- --prompt-request-queue
- non-persistent://tg/request/prompt-rag
- --prompt-response-queue
- non-persistent://tg/response/prompt-rag-response
- --entity-limit
- '50'
- --triple-limit
- '30'
- --max-subgraph-size
- '3000'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
kg-extract-definitions:
command:
- kg-extract-definitions
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
kg-extract-relationships:
command:
- kg-extract-relationships
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
neo4j:
deploy:
resources:
limits:
cpus: '1.0'
memory: 768M
reservations:
cpus: '0.5'
memory: 768M
environment:
NEO4J_AUTH: neo4j/password
image: docker.io/neo4j:5.22.0-community-bullseye
ports:
- 7474:7474
- 7687:7687
restart: on-failure:100
volumes:
- neo4j:/data
pdf-decoder:
command:
- pdf-decoder
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
prompt:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- --text-completion-request-queue
- non-persistent://tg/request/text-completion
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prompt-rag:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- -i
- non-persistent://tg/request/prompt-rag
- -o
- non-persistent://tg/response/prompt-rag-response
- --text-completion-request-queue
- non-persistent://tg/request/text-completion-rag
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-rag-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion:
command:
- text-completion-cohere
- -p
- pulsar://pulsar:6650
- -k
- ${COHERE_KEY}
- -t
- 0
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion-rag:
command:
- text-completion-cohere
- -p
- pulsar://pulsar:6650
- -k
- ${COHERE_KEY}
- -t
- 0
- -i
- non-persistent://tg/request/text-completion-rag
- -o
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
vectorize:
command:
- embeddings-vectorize
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '1.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
grafana-storage: {}
neo4j: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

View file

@ -0,0 +1,425 @@
services:
cassandra:
deploy:
resources:
limits:
cpus: '1.0'
memory: 800M
reservations:
cpus: '0.5'
memory: 800M
environment:
JVM_OPTS: -Xms256M -Xmx256M
image: docker.io/cassandra:4.1.6
ports:
- 9042:9042
restart: on-failure:100
volumes:
- cassandra:/var/lib/cassandra
chunker:
command:
- chunker-token
- -p
- pulsar://pulsar:6650
- --chunk-size
- '250'
- --chunk-overlap
- '15'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
embeddings:
command:
- embeddings-hf
- -p
- pulsar://pulsar:6650
- -m
- all-MiniLM-L6-v2
deploy:
resources:
limits:
cpus: '1.0'
memory: 400M
reservations:
cpus: '0.5'
memory: 400M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
graph-rag:
command:
- graph-rag
- -p
- pulsar://pulsar:6650
- --prompt-request-queue
- non-persistent://tg/request/prompt-rag
- --prompt-response-queue
- non-persistent://tg/response/prompt-rag-response
- --entity-limit
- '50'
- --triple-limit
- '30'
- --max-subgraph-size
- '3000'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
kg-extract-definitions:
command:
- kg-extract-definitions
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
kg-extract-relationships:
command:
- kg-extract-relationships
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pdf-decoder:
command:
- pdf-decoder
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
prompt:
command:
- prompt-generic
- -p
- pulsar://pulsar:6650
- --text-completion-request-queue
- non-persistent://tg/request/text-completion
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prompt-rag:
command:
- prompt-generic
- -p
- pulsar://pulsar:6650
- -i
- non-persistent://tg/request/prompt-rag
- -o
- non-persistent://tg/response/prompt-rag-response
- --text-completion-request-queue
- non-persistent://tg/request/text-completion-rag
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.1'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion:
command:
- text-completion-ollama
- -p
- pulsar://pulsar:6650
- -m
- gemma2:9b
- -r
- ${OLLAMA_HOST}
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion-rag:
command:
- text-completion-ollama
- -p
- pulsar://pulsar:6650
- -m
- gemma2:9b
- -r
- ${OLLAMA_HOST}
- -i
- non-persistent://tg/request/text-completion-rag
- -o
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
vectorize:
command:
- embeddings-vectorize
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '1.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
cassandra: {}
grafana-storage: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

View file

@ -0,0 +1,426 @@
services:
chunker:
command:
- chunker-token
- -p
- pulsar://pulsar:6650
- --chunk-size
- '250'
- --chunk-overlap
- '15'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
embeddings:
command:
- embeddings-hf
- -p
- pulsar://pulsar:6650
- -m
- all-MiniLM-L6-v2
deploy:
resources:
limits:
cpus: '1.0'
memory: 400M
reservations:
cpus: '0.5'
memory: 400M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
graph-rag:
command:
- graph-rag
- -p
- pulsar://pulsar:6650
- --prompt-request-queue
- non-persistent://tg/request/prompt-rag
- --prompt-response-queue
- non-persistent://tg/response/prompt-rag-response
- --entity-limit
- '50'
- --triple-limit
- '30'
- --max-subgraph-size
- '3000'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
kg-extract-definitions:
command:
- kg-extract-definitions
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
kg-extract-relationships:
command:
- kg-extract-relationships
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
neo4j:
deploy:
resources:
limits:
cpus: '1.0'
memory: 768M
reservations:
cpus: '0.5'
memory: 768M
environment:
NEO4J_AUTH: neo4j/password
image: docker.io/neo4j:5.22.0-community-bullseye
ports:
- 7474:7474
- 7687:7687
restart: on-failure:100
volumes:
- neo4j:/data
pdf-decoder:
command:
- pdf-decoder
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
prompt:
command:
- prompt-generic
- -p
- pulsar://pulsar:6650
- --text-completion-request-queue
- non-persistent://tg/request/text-completion
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prompt-rag:
command:
- prompt-generic
- -p
- pulsar://pulsar:6650
- -i
- non-persistent://tg/request/prompt-rag
- -o
- non-persistent://tg/response/prompt-rag-response
- --text-completion-request-queue
- non-persistent://tg/request/text-completion-rag
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion:
command:
- text-completion-ollama
- -p
- pulsar://pulsar:6650
- -m
- gemma2:9b
- -r
- ${OLLAMA_HOST}
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion-rag:
command:
- text-completion-ollama
- -p
- pulsar://pulsar:6650
- -m
- gemma2:9b
- -r
- ${OLLAMA_HOST}
- -i
- non-persistent://tg/request/text-completion-rag
- -o
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
vectorize:
command:
- embeddings-vectorize
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '1.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
grafana-storage: {}
neo4j: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

View file

@ -0,0 +1,721 @@
services:
cassandra:
deploy:
resources:
limits:
cpus: '1.0'
memory: 800M
reservations:
cpus: '0.5'
memory: 800M
environment:
JVM_OPTS: -Xms256M -Xmx256M
image: docker.io/cassandra:4.1.6
ports:
- 9042:9042
restart: on-failure:100
volumes:
- cassandra:/var/lib/cassandra
chunker:
command:
- chunker-token
- -p
- pulsar://pulsar:6650
- --chunk-size
- '250'
- --chunk-overlap
- '15'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
embeddings:
command:
- embeddings-hf
- -p
- pulsar://pulsar:6650
- -m
- all-MiniLM-L6-v2
deploy:
resources:
limits:
cpus: '1.0'
memory: 400M
reservations:
cpus: '0.5'
memory: 400M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
graph-rag:
command:
- graph-rag
- -p
- pulsar://pulsar:6650
- --prompt-request-queue
- non-persistent://tg/request/prompt-rag
- --prompt-response-queue
- non-persistent://tg/response/prompt-rag-response
- --entity-limit
- '50'
- --triple-limit
- '30'
- --max-subgraph-size
- '3000'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
kg-extract-definitions:
command:
- kg-extract-definitions
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
kg-extract-relationships:
command:
- kg-extract-relationships
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pdf-decoder:
command:
- pdf-decoder
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
prompt:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- --text-completion-request-queue
- non-persistent://tg/request/text-completion
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prompt-rag:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- -i
- non-persistent://tg/request/prompt-rag
- -o
- non-persistent://tg/response/prompt-rag-response
- --text-completion-request-queue
- non-persistent://tg/request/text-completion-rag
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-rag-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.1'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion:
command:
- text-completion-openai
- -p
- pulsar://pulsar:6650
- -k
- ${OPENAI_KEY}
- -x
- '4096'
- -t
- '0'
- -m
- GPT-3.5-Turbo
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion-rag:
command:
- text-completion-openai
- -p
- pulsar://pulsar:6650
- -k
- ${OPENAI_KEY}
- -x
- '4096'
- -t
- '0'
- -m
- GPT-3.5-Turbo
- -i
- non-persistent://tg/request/text-completion-rag
- -o
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
vectorize:
command:
- embeddings-vectorize
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '1.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
cassandra: {}
grafana-storage: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

View file

@ -0,0 +1,722 @@
services:
chunker:
command:
- chunker-token
- -p
- pulsar://pulsar:6650
- --chunk-size
- '250'
- --chunk-overlap
- '15'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
embeddings:
command:
- embeddings-hf
- -p
- pulsar://pulsar:6650
- -m
- all-MiniLM-L6-v2
deploy:
resources:
limits:
cpus: '1.0'
memory: 400M
reservations:
cpus: '0.5'
memory: 400M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
graph-rag:
command:
- graph-rag
- -p
- pulsar://pulsar:6650
- --prompt-request-queue
- non-persistent://tg/request/prompt-rag
- --prompt-response-queue
- non-persistent://tg/response/prompt-rag-response
- --entity-limit
- '50'
- --triple-limit
- '30'
- --max-subgraph-size
- '3000'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
kg-extract-definitions:
command:
- kg-extract-definitions
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
kg-extract-relationships:
command:
- kg-extract-relationships
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
neo4j:
deploy:
resources:
limits:
cpus: '1.0'
memory: 768M
reservations:
cpus: '0.5'
memory: 768M
environment:
NEO4J_AUTH: neo4j/password
image: docker.io/neo4j:5.22.0-community-bullseye
ports:
- 7474:7474
- 7687:7687
restart: on-failure:100
volumes:
- neo4j:/data
pdf-decoder:
command:
- pdf-decoder
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
prompt:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- --text-completion-request-queue
- non-persistent://tg/request/text-completion
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prompt-rag:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- -i
- non-persistent://tg/request/prompt-rag
- -o
- non-persistent://tg/response/prompt-rag-response
- --text-completion-request-queue
- non-persistent://tg/request/text-completion-rag
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-rag-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion:
command:
- text-completion-openai
- -p
- pulsar://pulsar:6650
- -k
- ${OPENAI_KEY}
- -x
- '4096'
- -t
- '0'
- -m
- GPT-3.5-Turbo
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion-rag:
command:
- text-completion-openai
- -p
- pulsar://pulsar:6650
- -k
- ${OPENAI_KEY}
- -x
- '4096'
- -t
- '0'
- -m
- GPT-3.5-Turbo
- -i
- non-persistent://tg/request/text-completion-rag
- -o
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
vectorize:
command:
- embeddings-vectorize
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '1.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
grafana-storage: {}
neo4j: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

View file

@ -0,0 +1,729 @@
services:
cassandra:
deploy:
resources:
limits:
cpus: '1.0'
memory: 800M
reservations:
cpus: '0.5'
memory: 800M
environment:
JVM_OPTS: -Xms256M -Xmx256M
image: docker.io/cassandra:4.1.6
ports:
- 9042:9042
restart: on-failure:100
volumes:
- cassandra:/var/lib/cassandra
chunker:
command:
- chunker-token
- -p
- pulsar://pulsar:6650
- --chunk-size
- '250'
- --chunk-overlap
- '15'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
embeddings:
command:
- embeddings-hf
- -p
- pulsar://pulsar:6650
- -m
- all-MiniLM-L6-v2
deploy:
resources:
limits:
cpus: '1.0'
memory: 400M
reservations:
cpus: '0.5'
memory: 400M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
graph-rag:
command:
- graph-rag
- -p
- pulsar://pulsar:6650
- --prompt-request-queue
- non-persistent://tg/request/prompt-rag
- --prompt-response-queue
- non-persistent://tg/response/prompt-rag-response
- --entity-limit
- '50'
- --triple-limit
- '30'
- --max-subgraph-size
- '3000'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
kg-extract-definitions:
command:
- kg-extract-definitions
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
kg-extract-relationships:
command:
- kg-extract-relationships
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pdf-decoder:
command:
- pdf-decoder
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
prompt:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- --text-completion-request-queue
- non-persistent://tg/request/text-completion
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prompt-rag:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- -i
- non-persistent://tg/request/prompt-rag
- -o
- non-persistent://tg/response/prompt-rag-response
- --text-completion-request-queue
- non-persistent://tg/request/text-completion-rag
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-rag-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.1'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion:
command:
- text-completion-vertexai
- -p
- pulsar://pulsar:6650
- -k
- /vertexai/private.json
- -r
- us-central1
- -x
- '4096'
- -t
- '0'
- -m
- gemini-1.0-pro-001
deploy:
resources:
limits:
cpus: '0.5'
memory: 256M
reservations:
cpus: '0.1'
memory: 256M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
- ./vertexai:/vertexai
text-completion-rag:
command:
- text-completion-vertexai
- -p
- pulsar://pulsar:6650
- -k
- /vertexai/private.json
- -r
- us-central1
- -x
- '4096'
- -t
- '0'
- -m
- gemini-1.0-pro-001
- -i
- non-persistent://tg/request/text-completion-rag
- -o
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 256M
reservations:
cpus: '0.1'
memory: 256M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
- ./vertexai:/vertexai
vectorize:
command:
- embeddings-vectorize
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '1.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
cassandra: {}
grafana-storage: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

View file

@ -0,0 +1,730 @@
services:
chunker:
command:
- chunker-token
- -p
- pulsar://pulsar:6650
- --chunk-size
- '250'
- --chunk-overlap
- '15'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
embeddings:
command:
- embeddings-hf
- -p
- pulsar://pulsar:6650
- -m
- all-MiniLM-L6-v2
deploy:
resources:
limits:
cpus: '1.0'
memory: 400M
reservations:
cpus: '0.5'
memory: 400M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
graph-rag:
command:
- graph-rag
- -p
- pulsar://pulsar:6650
- --prompt-request-queue
- non-persistent://tg/request/prompt-rag
- --prompt-response-queue
- non-persistent://tg/response/prompt-rag-response
- --entity-limit
- '50'
- --triple-limit
- '30'
- --max-subgraph-size
- '3000'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
kg-extract-definitions:
command:
- kg-extract-definitions
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
kg-extract-relationships:
command:
- kg-extract-relationships
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
neo4j:
deploy:
resources:
limits:
cpus: '1.0'
memory: 768M
reservations:
cpus: '0.5'
memory: 768M
environment:
NEO4J_AUTH: neo4j/password
image: docker.io/neo4j:5.22.0-community-bullseye
ports:
- 7474:7474
- 7687:7687
restart: on-failure:100
volumes:
- neo4j:/data
pdf-decoder:
command:
- pdf-decoder
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
prompt:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- --text-completion-request-queue
- non-persistent://tg/request/text-completion
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
prompt-rag:
command:
- prompt-template
- -p
- pulsar://pulsar:6650
- -i
- non-persistent://tg/request/prompt-rag
- -o
- non-persistent://tg/response/prompt-rag-response
- --text-completion-request-queue
- non-persistent://tg/request/text-completion-rag
- --text-completion-response-queue
- non-persistent://tg/response/text-completion-rag-response
- --definition-template
- '<instructions>
Study the following text and derive definitions for any discovered entities.
Do not provide definitions for entities whose definitions are incomplete
or unknown.
Output relationships in JSON format as an arary of objects with fields:
- entity: the name of the entity
- definition: English text which defines the entity
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract will be written as plain text. Do not add markdown formatting
or headers or prefixes. Do not include null or unknown definitions.
</requirements>'
- --relationship-template
- '<instructions>
Study the following text and derive entity relationships. For each
relationship, derive the subject, predicate and object of the relationship.
Output relationships in JSON format as an arary of objects with fields:
- subject: the subject of the relationship
- predicate: the predicate
- object: the object of the relationship
- object-entity: false if the object is a simple data type: name, value or date. true
if it is an entity.
</instructions>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not use special characters in the abstract text. The
abstract must be written as plain text. Do not add markdown formatting
or headers or prefixes.
</requirements>'
- --knowledge-query-template
- 'Study the following set of knowledge statements. The statements are written
in Cypher format that has been extracted from a knowledge graph. Use only the
provided set of knowledge statements in your response. Do not speculate if the
answer is not found in the provided set of knowledge statements.
Here''s the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --document-query-template
- 'Study the following context. Use only the information provided in the context
in your response. Do not speculate if the answer is not found in the provided
set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
'
- --rows-template
- '<instructions>
Study the following text and derive objects which match the schema provided.
You must output an array of JSON objects for each object you discover
which matches the schema. For each object, output a JSON object whose fields
carry the name field specified in the schema.
</instructions>
<schema>
{schema}
</schema>
<text>
{text}
</text>
<requirements>
You will respond only with raw JSON format data. Do not provide
explanations. Do not add markdown formatting or headers or prefixes.
</requirements>'
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
text-completion:
command:
- text-completion-vertexai
- -p
- pulsar://pulsar:6650
- -k
- /vertexai/private.json
- -r
- us-central1
- -x
- '4096'
- -t
- '0'
- -m
- gemini-1.0-pro-001
deploy:
resources:
limits:
cpus: '0.5'
memory: 256M
reservations:
cpus: '0.1'
memory: 256M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
- ./vertexai:/vertexai
text-completion-rag:
command:
- text-completion-vertexai
- -p
- pulsar://pulsar:6650
- -k
- /vertexai/private.json
- -r
- us-central1
- -x
- '4096'
- -t
- '0'
- -m
- gemini-1.0-pro-001
- -i
- non-persistent://tg/request/text-completion-rag
- -o
- non-persistent://tg/response/text-completion-rag-response
deploy:
resources:
limits:
cpus: '0.5'
memory: 256M
reservations:
cpus: '0.1'
memory: 256M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
- ./vertexai:/vertexai
vectorize:
command:
- embeddings-vectorize
- -p
- pulsar://pulsar:6650
deploy:
resources:
limits:
cpus: '1.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
grafana-storage: {}
neo4j: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

View file

@ -0,0 +1,220 @@
services:
cassandra:
deploy:
resources:
limits:
cpus: '1.0'
memory: 800M
reservations:
cpus: '0.5'
memory: 800M
environment:
JVM_OPTS: -Xms256M -Xmx256M
image: docker.io/cassandra:4.1.6
ports:
- 9042:9042
restart: on-failure:100
volumes:
- cassandra:/var/lib/cassandra
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.1'
memory: 512M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-cassandra
- -p
- pulsar://pulsar:6650
- -g
- cassandra
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
cassandra: {}
grafana-storage: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

View file

@ -0,0 +1,221 @@
services:
grafana:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
environment:
GF_ORG_NAME: trustgraph.ai
image: docker.io/grafana/grafana:11.1.4
ports:
- 3000:3000
restart: on-failure:100
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning/:/etc/grafana/provisioning/dashboards/
- ./grafana/provisioning/:/etc/grafana/provisioning/datasources/
- ./grafana/dashboards/:/var/lib/grafana/dashboards/
init-pulsar:
command:
- sh
- -c
- while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg
; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin
--admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url
http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url
http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response;
sleep 20; done
deploy:
resources:
limits:
cpus: '1'
memory: 400M
reservations:
cpus: '0.1'
memory: 400M
image: docker.io/apachepulsar/pulsar:3.3.1
restart: on-failure:100
neo4j:
deploy:
resources:
limits:
cpus: '1.0'
memory: 768M
reservations:
cpus: '0.5'
memory: 768M
environment:
NEO4J_AUTH: neo4j/password
image: docker.io/neo4j:5.22.0-community-bullseye
ports:
- 7474:7474
- 7687:7687
restart: on-failure:100
volumes:
- neo4j:/data
prometheus:
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/prom/prometheus:v2.53.2
ports:
- 9090:9090
restart: on-failure:100
volumes:
- ./prometheus:/etc/prometheus/
- prometheus-data:/prometheus
pulsar:
command:
- bin/pulsar
- standalone
deploy:
resources:
limits:
cpus: '2.0'
memory: 1500M
reservations:
cpus: '1.0'
memory: 1500M
environment:
PULSAR_MEM: -Xms600M -Xmx600M
image: docker.io/apachepulsar/pulsar:3.3.1
ports:
- 6650:6650
- 8080:8080
restart: on-failure:100
volumes:
- pulsar-data:/pulsar/data
qdrant:
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.5'
memory: 256M
image: docker.io/qdrant/qdrant:v1.11.1
ports:
- 6333:6333
- 6334:6334
restart: on-failure:100
volumes:
- qdrant:/qdrant/storage
query-doc-embeddings:
command:
- de-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-graph-embeddings:
command:
- ge-query-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
query-triples:
command:
- triples-query-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-doc-embeddings:
command:
- de-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-graph-embeddings:
command:
- ge-write-qdrant
- -p
- pulsar://pulsar:6650
- -t
- http://qdrant:6333
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
store-triples:
command:
- triples-write-neo4j
- -p
- pulsar://pulsar:6650
- -g
- bolt://neo4j:7687
deploy:
resources:
limits:
cpus: '0.5'
memory: 128M
reservations:
cpus: '0.1'
memory: 128M
image: docker.io/trustgraph/trustgraph-flow:0.10.0
restart: on-failure:100
volumes:
grafana-storage: {}
neo4j: {}
prometheus-data: {}
pulsar-data: {}
qdrant: {}

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@ -12,7 +12,7 @@ default_pulsar_host = os.getenv("PULSAR_HOST", 'pulsar://pulsar:6650')
def show_graph(pulsar):
tq = TriplesQueryClient(pulsar_host="pulsar://localhost:6650")
tq = TriplesQueryClient(pulsar_host=pulsar)
rows = tq.request(None, None, None, limit=10_000_000)

View file

@ -15,7 +15,7 @@ default_pulsar_host = os.getenv("PULSAR_HOST", 'pulsar://pulsar:6650')
def show_graph(pulsar):
tq = TriplesQueryClient(pulsar_host="pulsar://localhost:6650")
tq = TriplesQueryClient(pulsar_host=pulsar)
rows = tq.request(None, None, None, limit=10_000_000)

View file

@ -4,7 +4,7 @@ import os
with open("README.md", "r") as fh:
long_description = fh.read()
version = "0.9.3"
version = "0.10.0"
setuptools.setup(
name="trustgraph",

View file

@ -1,6 +1,6 @@
local engine = import "docker-compose.jsonnet";
local decode = import "decode-config.jsonnet";
local engine = import "engine/docker-compose.jsonnet";
local decode = import "util/decode-config.jsonnet";
local components = import "components.jsonnet";
// Import config

View file

@ -1,6 +1,6 @@
local engine = import "k8s.jsonnet";
local decode = import "decode-config.jsonnet";
local engine = import "engine/gcp-k8s.jsonnet";
local decode = import "util/decode-config.jsonnet";
local components = import "components.jsonnet";
// Import config
@ -9,44 +9,8 @@ local config = import "config.json";
// Produce patterns from config
local patterns = decode(config);
local ns = {
apiVersion: "v1",
kind: "Namespace",
metadata: {
name: "trustgraph",
},
"spec": {
},
};
local sc = {
apiVersion: "storage.k8s.io/v1",
kind: "StorageClass",
metadata: {
name: "tg",
},
provisioner: "pd.csi.storage.gke.io",
parameters: {
type: "pd-balanced",
"csi.storage.k8s.io/fstype": "ext4",
},
reclaimPolicy: "Delete",
volumeBindingMode: "WaitForFirstConsumer",
};
//patterns["pulsar"].create(engine)
// Extract resources usnig the engine
local resources = std.flattenArrays([
p.create(engine) for p in std.objectValues(patterns)
]);
local resourceList = {
apiVersion: "v1",
kind: "List",
items: [ns, sc] + resources,
};
local resourceList = engine.package(patterns);
resourceList

View file

@ -0,0 +1,26 @@
local engine = import "engine/minikube-k8s.jsonnet";
local decode = import "util/decode-config.jsonnet";
local components = import "components.jsonnet";
// Import config
local config = import "config.json";
// Produce patterns from config
local patterns = decode(config);
local ns = {
apiVersion: "v1",
kind: "Namespace",
metadata: {
name: "trustgraph",
},
"spec": {
},
};
// Extract resources using the engine
local resourceList = engine.package(patterns);
resourceList

View file

@ -1,5 +1,13 @@
{
// Extract resources usnig the engine
package:: function(patterns)
std.foldl(
function(state, p) state + p.create(self),
std.objectValues(patterns),
{}
),
container:: function(name)
{

View file

@ -0,0 +1,44 @@
local k8s = import "k8s.jsonnet";
local ns = {
apiVersion: "v1",
kind: "Namespace",
metadata: {
name: "trustgraph",
},
"spec": {
},
};
local sc = {
apiVersion: "storage.k8s.io/v1",
kind: "StorageClass",
metadata: {
name: "tg",
},
provisioner: "pd.csi.storage.gke.io",
parameters: {
type: "pd-balanced",
"csi.storage.k8s.io/fstype": "ext4",
},
reclaimPolicy: "Delete",
volumeBindingMode: "WaitForFirstConsumer",
};
k8s + {
// Extract resources usnig the engine
package:: function(patterns)
local resources = [sc, ns] + std.flattenArrays([
p.create(self) for p in std.objectValues(patterns)
]);
local resourceList = {
apiVersion: "v1",
kind: "List",
items: [ns, sc] + resources,
};
resourceList
}

View file

@ -67,16 +67,16 @@
{
name: container.name,
image: container.image,
// FIXME: Make everything run as
// root. Needed to get filesystems
// to be accessible. There's a
// better way of doing this?
securityContext: {
// fsGroup: 1234
// runAsUser: 65534
// runAsGroup: 65534
// runAsNonRoot: true
runAsUser: 0,
runAsGroup: 0,
// runAsNonRoot: true,
// readOnlyRootFilesystem: true,
},
runAsUser: 0,
runAsGroup: 0,
},
resources: {
requests: container.reservations,
limits: container.limits
@ -197,28 +197,6 @@
with_size:: function(size) self + { size: size },
add:: function() [
/*
{
apiVersion: "v1",
kind: "PersistentVolume",
metadata: {
name: volume.name,
labels: {
type: "local",
}
},
spec: {
storageClassName: "tg",
volumeMode: "Filesystem",
capacity: {
storage: volume.size,
},
accessModes: [ "ReadWriteOnce" ],
persistentVolumeReclaimPolicy: "Delete",
}
},
*/
{
apiVersion: "v1",
kind: "PersistentVolumeClaim",
@ -234,7 +212,6 @@
storage: volume.size,
}
},
// volumeName: volume.name,
}
}
],

View file

@ -0,0 +1,115 @@
local k8s = import "k8s.jsonnet";
local ns = {
apiVersion: "v1",
kind: "Namespace",
metadata: {
name: "trustgraph",
},
"spec": {
},
};
k8s + {
// Extract resources usnig the engine
package:: function(patterns)
local resources = [ns] + std.flattenArrays([
p.create(self) for p in std.objectValues(patterns)
]);
local resourceList = {
apiVersion: "v1",
kind: "List",
items: resources,
};
resourceList,
volume:: function(name)
{
local volume = self,
name: name,
with_size:: function(size) self + { size: size },
add:: function() [
{
apiVersion: "v1",
kind: "PersistentVolume",
metadata: {
name: volume.name,
},
spec: {
accessModes: [ "ReadWriteOnce" ],
capacity: {
storage: volume.size,
},
persistentVolumeReclaimPolicy: "Delete",
hostPath: {
path: "/data/pv-" + volume.name,
},
}
},
{
apiVersion: "v1",
kind: "PersistentVolumeClaim",
metadata: {
name: volume.name,
namespace: "trustgraph",
},
spec: {
accessModes: [ "ReadWriteOnce" ],
resources: {
requests: {
storage: volume.size,
}
},
}
}
],
volRef:: function() {
name: volume.name,
persistentVolumeClaim: { claimName: volume.name },
}
},
service:: function(containers)
{
local service = self,
name: containers.name,
ports: [],
with_port::
function(src, dest, name)
self + {
ports: super.ports + [
{ src: src, dest: dest, name: name }
]
},
add:: function() [
{
apiVersion: "v1",
kind: "Service",
metadata: {
name: service.name,
namespace: "trustgraph",
},
spec: {
selector: {
app: service.name,
},
type: "LoadBalancer",
ports: [
{
port: port.src,
targetPort: port.dest,
name: port.name,
}
for port in service.ports
],
}
}
],
},
}

View file

@ -0,0 +1,21 @@
local engine = import "engine/docker-compose.jsonnet";
local components = import "components.jsonnet";
// Options
local options = std.split(std.extVar("options"), ",");
// Produce patterns from config
local patterns = std.foldl(
function(state, p) state + components[p],
options,
{}
);
// Extract resources usnig the engine
local resources = engine.package(patterns);
resources

View file

@ -1,6 +1,5 @@
local engine = import "docker-compose.jsonnet";
local decode = import "decode-config.jsonnet";
local engine = import "engine/docker-compose.jsonnet";
local components = import "components.jsonnet";
// Options
@ -14,11 +13,7 @@ local patterns = std.foldl(
);
// Extract resources usnig the engine
local resources = std.foldl(
function(state, p) state + p.create(engine),
std.objectValues(patterns),
{}
);
local resources = engine.package(patterns);
std.manifestYamlDoc(resources)

View file

@ -0,0 +1,19 @@
local engine = import "engine/minikube-k8s.jsonnet";
local components = import "components.jsonnet";
// Options
local options = std.split(std.extVar("options"), ",");
// Produce patterns from config
local patterns = std.foldl(
function(state, p) state + components[p],
options,
{}
);
// Extract resources usnig the engine
local resources = engine.package(patterns);
resources

View file

@ -1 +0,0 @@
"0.9.3"

View file

@ -1,475 +0,0 @@
"services":
"cassandra":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "800M"
"reservations":
"cpus": "0.5"
"memory": "800M"
"environment":
"JVM_OPTS": "-Xms256M -Xmx256M"
"image": "docker.io/cassandra:4.1.6"
"ports":
- "9042:9042"
"restart": "on-failure:100"
"volumes":
- "cassandra:/var/lib/cassandra"
"chunker":
"command":
- "chunker-token"
- "-p"
- "pulsar://pulsar:6650"
- "--chunk-size"
- "250"
- "--chunk-overlap"
- "15"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"embeddings":
"command":
- "embeddings-hf"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "all-MiniLM-L6-v2"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "400M"
"reservations":
"cpus": "0.5"
"memory": "400M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"graph-rag":
"command":
- "graph-rag"
- "-p"
- "pulsar://pulsar:6650"
- "--prompt-request-queue"
- "non-persistent://tg/request/prompt-rag"
- "--prompt-response-queue"
- "non-persistent://tg/response/prompt-rag-response"
- "--entity-limit"
- "50"
- "--triple-limit"
- "30"
- "--max-subgraph-size"
- "3000"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"kg-extract-definitions":
"command":
- "kg-extract-definitions"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"kg-extract-relationships":
"command":
- "kg-extract-relationships"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pdf-decoder":
"command":
- "pdf-decoder"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"prompt":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prompt-rag":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "-i"
- "non-persistent://tg/request/prompt-rag"
- "-o"
- "non-persistent://tg/response/prompt-rag-response"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion-rag"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-rag-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "512M"
"reservations":
"cpus": "0.1"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion":
"command":
- "text-completion-azure"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${AZURE_TOKEN}"
- "-e"
- "${AZURE_ENDPOINT}"
- "-x"
- "4096"
- "-t"
- "0"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion-rag":
"command":
- "text-completion-azure"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${AZURE_TOKEN}"
- "-e"
- "${AZURE_ENDPOINT}"
- "-x"
- "4096"
- "-t"
- "0"
- "-i"
- "non-persistent://tg/request/text-completion-rag"
- "-o"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"vectorize":
"command":
- "embeddings-vectorize"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "512M"
"reservations":
"cpus": "0.5"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"cassandra": {}
"grafana-storage": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,476 +0,0 @@
"services":
"chunker":
"command":
- "chunker-token"
- "-p"
- "pulsar://pulsar:6650"
- "--chunk-size"
- "250"
- "--chunk-overlap"
- "15"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"embeddings":
"command":
- "embeddings-hf"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "all-MiniLM-L6-v2"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "400M"
"reservations":
"cpus": "0.5"
"memory": "400M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"graph-rag":
"command":
- "graph-rag"
- "-p"
- "pulsar://pulsar:6650"
- "--prompt-request-queue"
- "non-persistent://tg/request/prompt-rag"
- "--prompt-response-queue"
- "non-persistent://tg/response/prompt-rag-response"
- "--entity-limit"
- "50"
- "--triple-limit"
- "30"
- "--max-subgraph-size"
- "3000"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"kg-extract-definitions":
"command":
- "kg-extract-definitions"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"kg-extract-relationships":
"command":
- "kg-extract-relationships"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"neo4j":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "768M"
"reservations":
"cpus": "0.5"
"memory": "768M"
"environment":
"NEO4J_AUTH": "neo4j/password"
"image": "docker.io/neo4j:5.22.0-community-bullseye"
"ports":
- "7474:7474"
- "7687:7687"
"restart": "on-failure:100"
"volumes":
- "neo4j:/data"
"pdf-decoder":
"command":
- "pdf-decoder"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"prompt":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prompt-rag":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "-i"
- "non-persistent://tg/request/prompt-rag"
- "-o"
- "non-persistent://tg/response/prompt-rag-response"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion-rag"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-rag-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion":
"command":
- "text-completion-azure"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${AZURE_TOKEN}"
- "-e"
- "${AZURE_ENDPOINT}"
- "-x"
- "4096"
- "-t"
- "0"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion-rag":
"command":
- "text-completion-azure"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${AZURE_TOKEN}"
- "-e"
- "${AZURE_ENDPOINT}"
- "-x"
- "4096"
- "-t"
- "0"
- "-i"
- "non-persistent://tg/request/text-completion-rag"
- "-o"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"vectorize":
"command":
- "embeddings-vectorize"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "512M"
"reservations":
"cpus": "0.5"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"grafana-storage": {}
"neo4j": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,483 +0,0 @@
"services":
"cassandra":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "800M"
"reservations":
"cpus": "0.5"
"memory": "800M"
"environment":
"JVM_OPTS": "-Xms256M -Xmx256M"
"image": "docker.io/cassandra:4.1.6"
"ports":
- "9042:9042"
"restart": "on-failure:100"
"volumes":
- "cassandra:/var/lib/cassandra"
"chunker":
"command":
- "chunker-recursive"
- "-p"
- "pulsar://pulsar:6650"
- "--chunk-size"
- "2000"
- "--chunk-overlap"
- "100"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"embeddings":
"command":
- "embeddings-hf"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "all-MiniLM-L6-v2"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "400M"
"reservations":
"cpus": "0.5"
"memory": "400M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"graph-rag":
"command":
- "graph-rag"
- "-p"
- "pulsar://pulsar:6650"
- "--prompt-request-queue"
- "non-persistent://tg/request/prompt-rag"
- "--prompt-response-queue"
- "non-persistent://tg/response/prompt-rag-response"
- "--entity-limit"
- "50"
- "--triple-limit"
- "30"
- "--max-subgraph-size"
- "3000"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"kg-extract-definitions":
"command":
- "kg-extract-definitions"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"kg-extract-relationships":
"command":
- "kg-extract-relationships"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pdf-decoder":
"command":
- "pdf-decoder"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"prompt":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prompt-rag":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "-i"
- "non-persistent://tg/request/prompt-rag"
- "-o"
- "non-persistent://tg/response/prompt-rag-response"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion-rag"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-rag-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "512M"
"reservations":
"cpus": "0.1"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion":
"command":
- "text-completion-bedrock"
- "-p"
- "pulsar://pulsar:6650"
- "-z"
- "${AWS_ID_KEY}"
- "-k"
- "${AWS_SECRET_KEY}"
- "-r"
- "us-west-2"
- "-x"
- "4096"
- "-t"
- "0"
- "-m"
- "mistral.mixtral-8x7b-instruct-v0:1"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion-rag":
"command":
- "text-completion-bedrock"
- "-p"
- "pulsar://pulsar:6650"
- "-z"
- "${AWS_ID_KEY}"
- "-k"
- "${AWS_SECRET_KEY}"
- "-r"
- "us-west-2"
- "-x"
- "4096"
- "-t"
- "0"
- "-m"
- "mistral.mixtral-8x7b-instruct-v0:1"
- "-i"
- "non-persistent://tg/request/text-completion-rag"
- "-o"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"vectorize":
"command":
- "embeddings-vectorize"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "512M"
"reservations":
"cpus": "0.5"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"cassandra": {}
"grafana-storage": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,484 +0,0 @@
"services":
"chunker":
"command":
- "chunker-recursive"
- "-p"
- "pulsar://pulsar:6650"
- "--chunk-size"
- "2000"
- "--chunk-overlap"
- "100"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"embeddings":
"command":
- "embeddings-hf"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "all-MiniLM-L6-v2"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "400M"
"reservations":
"cpus": "0.5"
"memory": "400M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"graph-rag":
"command":
- "graph-rag"
- "-p"
- "pulsar://pulsar:6650"
- "--prompt-request-queue"
- "non-persistent://tg/request/prompt-rag"
- "--prompt-response-queue"
- "non-persistent://tg/response/prompt-rag-response"
- "--entity-limit"
- "50"
- "--triple-limit"
- "30"
- "--max-subgraph-size"
- "3000"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"kg-extract-definitions":
"command":
- "kg-extract-definitions"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"kg-extract-relationships":
"command":
- "kg-extract-relationships"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"neo4j":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "768M"
"reservations":
"cpus": "0.5"
"memory": "768M"
"environment":
"NEO4J_AUTH": "neo4j/password"
"image": "docker.io/neo4j:5.22.0-community-bullseye"
"ports":
- "7474:7474"
- "7687:7687"
"restart": "on-failure:100"
"volumes":
- "neo4j:/data"
"pdf-decoder":
"command":
- "pdf-decoder"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"prompt":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prompt-rag":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "-i"
- "non-persistent://tg/request/prompt-rag"
- "-o"
- "non-persistent://tg/response/prompt-rag-response"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion-rag"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-rag-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion":
"command":
- "text-completion-bedrock"
- "-p"
- "pulsar://pulsar:6650"
- "-z"
- "${AWS_ID_KEY}"
- "-k"
- "${AWS_SECRET_KEY}"
- "-r"
- "us-west-2"
- "-x"
- "4096"
- "-t"
- "0"
- "-m"
- "mistral.mixtral-8x7b-instruct-v0:1"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion-rag":
"command":
- "text-completion-bedrock"
- "-p"
- "pulsar://pulsar:6650"
- "-z"
- "${AWS_ID_KEY}"
- "-k"
- "${AWS_SECRET_KEY}"
- "-r"
- "us-west-2"
- "-x"
- "4096"
- "-t"
- "0"
- "-m"
- "mistral.mixtral-8x7b-instruct-v0:1"
- "-i"
- "non-persistent://tg/request/text-completion-rag"
- "-o"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"vectorize":
"command":
- "embeddings-vectorize"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "512M"
"reservations":
"cpus": "0.5"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"grafana-storage": {}
"neo4j": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,471 +0,0 @@
"services":
"cassandra":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "800M"
"reservations":
"cpus": "0.5"
"memory": "800M"
"environment":
"JVM_OPTS": "-Xms256M -Xmx256M"
"image": "docker.io/cassandra:4.1.6"
"ports":
- "9042:9042"
"restart": "on-failure:100"
"volumes":
- "cassandra:/var/lib/cassandra"
"chunker":
"command":
- "chunker-token"
- "-p"
- "pulsar://pulsar:6650"
- "--chunk-size"
- "250"
- "--chunk-overlap"
- "15"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"embeddings":
"command":
- "embeddings-hf"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "all-MiniLM-L6-v2"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "400M"
"reservations":
"cpus": "0.5"
"memory": "400M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"graph-rag":
"command":
- "graph-rag"
- "-p"
- "pulsar://pulsar:6650"
- "--prompt-request-queue"
- "non-persistent://tg/request/prompt-rag"
- "--prompt-response-queue"
- "non-persistent://tg/response/prompt-rag-response"
- "--entity-limit"
- "50"
- "--triple-limit"
- "30"
- "--max-subgraph-size"
- "3000"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"kg-extract-definitions":
"command":
- "kg-extract-definitions"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"kg-extract-relationships":
"command":
- "kg-extract-relationships"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pdf-decoder":
"command":
- "pdf-decoder"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"prompt":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prompt-rag":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "-i"
- "non-persistent://tg/request/prompt-rag"
- "-o"
- "non-persistent://tg/response/prompt-rag-response"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion-rag"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-rag-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "512M"
"reservations":
"cpus": "0.1"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion":
"command":
- "text-completion-claude"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${CLAUDE_KEY}"
- "-x"
- "4096"
- "-t"
- "0"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion-rag":
"command":
- "text-completion-claude"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${CLAUDE_KEY}"
- "-x"
- "4096"
- "-t"
- "0"
- "-i"
- "non-persistent://tg/request/text-completion-rag"
- "-o"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"vectorize":
"command":
- "embeddings-vectorize"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "512M"
"reservations":
"cpus": "0.5"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"cassandra": {}
"grafana-storage": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,472 +0,0 @@
"services":
"chunker":
"command":
- "chunker-token"
- "-p"
- "pulsar://pulsar:6650"
- "--chunk-size"
- "250"
- "--chunk-overlap"
- "15"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"embeddings":
"command":
- "embeddings-hf"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "all-MiniLM-L6-v2"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "400M"
"reservations":
"cpus": "0.5"
"memory": "400M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"graph-rag":
"command":
- "graph-rag"
- "-p"
- "pulsar://pulsar:6650"
- "--prompt-request-queue"
- "non-persistent://tg/request/prompt-rag"
- "--prompt-response-queue"
- "non-persistent://tg/response/prompt-rag-response"
- "--entity-limit"
- "50"
- "--triple-limit"
- "30"
- "--max-subgraph-size"
- "3000"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"kg-extract-definitions":
"command":
- "kg-extract-definitions"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"kg-extract-relationships":
"command":
- "kg-extract-relationships"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"neo4j":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "768M"
"reservations":
"cpus": "0.5"
"memory": "768M"
"environment":
"NEO4J_AUTH": "neo4j/password"
"image": "docker.io/neo4j:5.22.0-community-bullseye"
"ports":
- "7474:7474"
- "7687:7687"
"restart": "on-failure:100"
"volumes":
- "neo4j:/data"
"pdf-decoder":
"command":
- "pdf-decoder"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"prompt":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prompt-rag":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "-i"
- "non-persistent://tg/request/prompt-rag"
- "-o"
- "non-persistent://tg/response/prompt-rag-response"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion-rag"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-rag-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion":
"command":
- "text-completion-claude"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${CLAUDE_KEY}"
- "-x"
- "4096"
- "-t"
- "0"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion-rag":
"command":
- "text-completion-claude"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${CLAUDE_KEY}"
- "-x"
- "4096"
- "-t"
- "0"
- "-i"
- "non-persistent://tg/request/text-completion-rag"
- "-o"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"vectorize":
"command":
- "embeddings-vectorize"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "512M"
"reservations":
"cpus": "0.5"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"grafana-storage": {}
"neo4j": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,467 +0,0 @@
"services":
"cassandra":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "800M"
"reservations":
"cpus": "0.5"
"memory": "800M"
"environment":
"JVM_OPTS": "-Xms256M -Xmx256M"
"image": "docker.io/cassandra:4.1.6"
"ports":
- "9042:9042"
"restart": "on-failure:100"
"volumes":
- "cassandra:/var/lib/cassandra"
"chunker":
"command":
- "chunker-token"
- "-p"
- "pulsar://pulsar:6650"
- "--chunk-size"
- "150"
- "--chunk-overlap"
- "10"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"embeddings":
"command":
- "embeddings-hf"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "all-MiniLM-L6-v2"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "400M"
"reservations":
"cpus": "0.5"
"memory": "400M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"graph-rag":
"command":
- "graph-rag"
- "-p"
- "pulsar://pulsar:6650"
- "--prompt-request-queue"
- "non-persistent://tg/request/prompt-rag"
- "--prompt-response-queue"
- "non-persistent://tg/response/prompt-rag-response"
- "--entity-limit"
- "50"
- "--triple-limit"
- "30"
- "--max-subgraph-size"
- "3000"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"kg-extract-definitions":
"command":
- "kg-extract-definitions"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"kg-extract-relationships":
"command":
- "kg-extract-relationships"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pdf-decoder":
"command":
- "pdf-decoder"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"prompt":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prompt-rag":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "-i"
- "non-persistent://tg/request/prompt-rag"
- "-o"
- "non-persistent://tg/response/prompt-rag-response"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion-rag"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-rag-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "512M"
"reservations":
"cpus": "0.1"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion":
"command":
- "text-completion-cohere"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${COHERE_KEY}"
- "-t"
- 0
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion-rag":
"command":
- "text-completion-cohere"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${COHERE_KEY}"
- "-t"
- 0
- "-i"
- "non-persistent://tg/request/text-completion-rag"
- "-o"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"vectorize":
"command":
- "embeddings-vectorize"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "512M"
"reservations":
"cpus": "0.5"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"cassandra": {}
"grafana-storage": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,468 +0,0 @@
"services":
"chunker":
"command":
- "chunker-token"
- "-p"
- "pulsar://pulsar:6650"
- "--chunk-size"
- "150"
- "--chunk-overlap"
- "10"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"embeddings":
"command":
- "embeddings-hf"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "all-MiniLM-L6-v2"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "400M"
"reservations":
"cpus": "0.5"
"memory": "400M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"graph-rag":
"command":
- "graph-rag"
- "-p"
- "pulsar://pulsar:6650"
- "--prompt-request-queue"
- "non-persistent://tg/request/prompt-rag"
- "--prompt-response-queue"
- "non-persistent://tg/response/prompt-rag-response"
- "--entity-limit"
- "50"
- "--triple-limit"
- "30"
- "--max-subgraph-size"
- "3000"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"kg-extract-definitions":
"command":
- "kg-extract-definitions"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"kg-extract-relationships":
"command":
- "kg-extract-relationships"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"neo4j":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "768M"
"reservations":
"cpus": "0.5"
"memory": "768M"
"environment":
"NEO4J_AUTH": "neo4j/password"
"image": "docker.io/neo4j:5.22.0-community-bullseye"
"ports":
- "7474:7474"
- "7687:7687"
"restart": "on-failure:100"
"volumes":
- "neo4j:/data"
"pdf-decoder":
"command":
- "pdf-decoder"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"prompt":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prompt-rag":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "-i"
- "non-persistent://tg/request/prompt-rag"
- "-o"
- "non-persistent://tg/response/prompt-rag-response"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion-rag"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-rag-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion":
"command":
- "text-completion-cohere"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${COHERE_KEY}"
- "-t"
- 0
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion-rag":
"command":
- "text-completion-cohere"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${COHERE_KEY}"
- "-t"
- 0
- "-i"
- "non-persistent://tg/request/text-completion-rag"
- "-o"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"vectorize":
"command":
- "embeddings-vectorize"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "512M"
"reservations":
"cpus": "0.5"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"grafana-storage": {}
"neo4j": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,419 +0,0 @@
"services":
"cassandra":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "800M"
"reservations":
"cpus": "0.5"
"memory": "800M"
"environment":
"JVM_OPTS": "-Xms256M -Xmx256M"
"image": "docker.io/cassandra:4.1.6"
"ports":
- "9042:9042"
"restart": "on-failure:100"
"volumes":
- "cassandra:/var/lib/cassandra"
"chunker":
"command":
- "chunker-token"
- "-p"
- "pulsar://pulsar:6650"
- "--chunk-size"
- "250"
- "--chunk-overlap"
- "15"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"embeddings":
"command":
- "embeddings-hf"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "all-MiniLM-L6-v2"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "400M"
"reservations":
"cpus": "0.5"
"memory": "400M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"graph-rag":
"command":
- "graph-rag"
- "-p"
- "pulsar://pulsar:6650"
- "--prompt-request-queue"
- "non-persistent://tg/request/prompt-rag"
- "--prompt-response-queue"
- "non-persistent://tg/response/prompt-rag-response"
- "--entity-limit"
- "50"
- "--triple-limit"
- "30"
- "--max-subgraph-size"
- "3000"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"kg-extract-definitions":
"command":
- "kg-extract-definitions"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"kg-extract-relationships":
"command":
- "kg-extract-relationships"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pdf-decoder":
"command":
- "pdf-decoder"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"prompt":
"command":
- "prompt-generic"
- "-p"
- "pulsar://pulsar:6650"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prompt-rag":
"command":
- "prompt-generic"
- "-p"
- "pulsar://pulsar:6650"
- "-i"
- "non-persistent://tg/request/prompt-rag"
- "-o"
- "non-persistent://tg/response/prompt-rag-response"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion-rag"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "512M"
"reservations":
"cpus": "0.1"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion":
"command":
- "text-completion-ollama"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "gemma2:9b"
- "-r"
- "${OLLAMA_HOST}"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion-rag":
"command":
- "text-completion-ollama"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "gemma2:9b"
- "-r"
- "${OLLAMA_HOST}"
- "-i"
- "non-persistent://tg/request/text-completion-rag"
- "-o"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"vectorize":
"command":
- "embeddings-vectorize"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "512M"
"reservations":
"cpus": "0.5"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"cassandra": {}
"grafana-storage": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,420 +0,0 @@
"services":
"chunker":
"command":
- "chunker-token"
- "-p"
- "pulsar://pulsar:6650"
- "--chunk-size"
- "250"
- "--chunk-overlap"
- "15"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"embeddings":
"command":
- "embeddings-hf"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "all-MiniLM-L6-v2"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "400M"
"reservations":
"cpus": "0.5"
"memory": "400M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"graph-rag":
"command":
- "graph-rag"
- "-p"
- "pulsar://pulsar:6650"
- "--prompt-request-queue"
- "non-persistent://tg/request/prompt-rag"
- "--prompt-response-queue"
- "non-persistent://tg/response/prompt-rag-response"
- "--entity-limit"
- "50"
- "--triple-limit"
- "30"
- "--max-subgraph-size"
- "3000"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"kg-extract-definitions":
"command":
- "kg-extract-definitions"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"kg-extract-relationships":
"command":
- "kg-extract-relationships"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"neo4j":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "768M"
"reservations":
"cpus": "0.5"
"memory": "768M"
"environment":
"NEO4J_AUTH": "neo4j/password"
"image": "docker.io/neo4j:5.22.0-community-bullseye"
"ports":
- "7474:7474"
- "7687:7687"
"restart": "on-failure:100"
"volumes":
- "neo4j:/data"
"pdf-decoder":
"command":
- "pdf-decoder"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"prompt":
"command":
- "prompt-generic"
- "-p"
- "pulsar://pulsar:6650"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prompt-rag":
"command":
- "prompt-generic"
- "-p"
- "pulsar://pulsar:6650"
- "-i"
- "non-persistent://tg/request/prompt-rag"
- "-o"
- "non-persistent://tg/response/prompt-rag-response"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion-rag"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion":
"command":
- "text-completion-ollama"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "gemma2:9b"
- "-r"
- "${OLLAMA_HOST}"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion-rag":
"command":
- "text-completion-ollama"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "gemma2:9b"
- "-r"
- "${OLLAMA_HOST}"
- "-i"
- "non-persistent://tg/request/text-completion-rag"
- "-o"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"vectorize":
"command":
- "embeddings-vectorize"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "512M"
"reservations":
"cpus": "0.5"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"grafana-storage": {}
"neo4j": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,475 +0,0 @@
"services":
"cassandra":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "800M"
"reservations":
"cpus": "0.5"
"memory": "800M"
"environment":
"JVM_OPTS": "-Xms256M -Xmx256M"
"image": "docker.io/cassandra:4.1.6"
"ports":
- "9042:9042"
"restart": "on-failure:100"
"volumes":
- "cassandra:/var/lib/cassandra"
"chunker":
"command":
- "chunker-token"
- "-p"
- "pulsar://pulsar:6650"
- "--chunk-size"
- "250"
- "--chunk-overlap"
- "15"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"embeddings":
"command":
- "embeddings-hf"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "all-MiniLM-L6-v2"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "400M"
"reservations":
"cpus": "0.5"
"memory": "400M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"graph-rag":
"command":
- "graph-rag"
- "-p"
- "pulsar://pulsar:6650"
- "--prompt-request-queue"
- "non-persistent://tg/request/prompt-rag"
- "--prompt-response-queue"
- "non-persistent://tg/response/prompt-rag-response"
- "--entity-limit"
- "50"
- "--triple-limit"
- "30"
- "--max-subgraph-size"
- "3000"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"kg-extract-definitions":
"command":
- "kg-extract-definitions"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"kg-extract-relationships":
"command":
- "kg-extract-relationships"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pdf-decoder":
"command":
- "pdf-decoder"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"prompt":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prompt-rag":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "-i"
- "non-persistent://tg/request/prompt-rag"
- "-o"
- "non-persistent://tg/response/prompt-rag-response"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion-rag"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-rag-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "512M"
"reservations":
"cpus": "0.1"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion":
"command":
- "text-completion-openai"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${OPENAI_KEY}"
- "-x"
- "4096"
- "-t"
- "0"
- "-m"
- "GPT-3.5-Turbo"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion-rag":
"command":
- "text-completion-openai"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${OPENAI_KEY}"
- "-x"
- "4096"
- "-t"
- "0"
- "-m"
- "GPT-3.5-Turbo"
- "-i"
- "non-persistent://tg/request/text-completion-rag"
- "-o"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"vectorize":
"command":
- "embeddings-vectorize"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "512M"
"reservations":
"cpus": "0.5"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"cassandra": {}
"grafana-storage": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,476 +0,0 @@
"services":
"chunker":
"command":
- "chunker-token"
- "-p"
- "pulsar://pulsar:6650"
- "--chunk-size"
- "250"
- "--chunk-overlap"
- "15"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"embeddings":
"command":
- "embeddings-hf"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "all-MiniLM-L6-v2"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "400M"
"reservations":
"cpus": "0.5"
"memory": "400M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"graph-rag":
"command":
- "graph-rag"
- "-p"
- "pulsar://pulsar:6650"
- "--prompt-request-queue"
- "non-persistent://tg/request/prompt-rag"
- "--prompt-response-queue"
- "non-persistent://tg/response/prompt-rag-response"
- "--entity-limit"
- "50"
- "--triple-limit"
- "30"
- "--max-subgraph-size"
- "3000"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"kg-extract-definitions":
"command":
- "kg-extract-definitions"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"kg-extract-relationships":
"command":
- "kg-extract-relationships"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"neo4j":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "768M"
"reservations":
"cpus": "0.5"
"memory": "768M"
"environment":
"NEO4J_AUTH": "neo4j/password"
"image": "docker.io/neo4j:5.22.0-community-bullseye"
"ports":
- "7474:7474"
- "7687:7687"
"restart": "on-failure:100"
"volumes":
- "neo4j:/data"
"pdf-decoder":
"command":
- "pdf-decoder"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"prompt":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prompt-rag":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "-i"
- "non-persistent://tg/request/prompt-rag"
- "-o"
- "non-persistent://tg/response/prompt-rag-response"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion-rag"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-rag-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion":
"command":
- "text-completion-openai"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${OPENAI_KEY}"
- "-x"
- "4096"
- "-t"
- "0"
- "-m"
- "GPT-3.5-Turbo"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion-rag":
"command":
- "text-completion-openai"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "${OPENAI_KEY}"
- "-x"
- "4096"
- "-t"
- "0"
- "-m"
- "GPT-3.5-Turbo"
- "-i"
- "non-persistent://tg/request/text-completion-rag"
- "-o"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"vectorize":
"command":
- "embeddings-vectorize"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "512M"
"reservations":
"cpus": "0.5"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"grafana-storage": {}
"neo4j": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,483 +0,0 @@
"services":
"cassandra":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "800M"
"reservations":
"cpus": "0.5"
"memory": "800M"
"environment":
"JVM_OPTS": "-Xms256M -Xmx256M"
"image": "docker.io/cassandra:4.1.6"
"ports":
- "9042:9042"
"restart": "on-failure:100"
"volumes":
- "cassandra:/var/lib/cassandra"
"chunker":
"command":
- "chunker-token"
- "-p"
- "pulsar://pulsar:6650"
- "--chunk-size"
- "250"
- "--chunk-overlap"
- "15"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"embeddings":
"command":
- "embeddings-hf"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "all-MiniLM-L6-v2"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "400M"
"reservations":
"cpus": "0.5"
"memory": "400M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"graph-rag":
"command":
- "graph-rag"
- "-p"
- "pulsar://pulsar:6650"
- "--prompt-request-queue"
- "non-persistent://tg/request/prompt-rag"
- "--prompt-response-queue"
- "non-persistent://tg/response/prompt-rag-response"
- "--entity-limit"
- "50"
- "--triple-limit"
- "30"
- "--max-subgraph-size"
- "3000"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"kg-extract-definitions":
"command":
- "kg-extract-definitions"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"kg-extract-relationships":
"command":
- "kg-extract-relationships"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pdf-decoder":
"command":
- "pdf-decoder"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"prompt":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prompt-rag":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "-i"
- "non-persistent://tg/request/prompt-rag"
- "-o"
- "non-persistent://tg/response/prompt-rag-response"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion-rag"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-rag-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "512M"
"reservations":
"cpus": "0.1"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion":
"command":
- "text-completion-vertexai"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "/vertexai/private.json"
- "-r"
- "us-central1"
- "-x"
- "4096"
- "-t"
- "0"
- "-m"
- "gemini-1.0-pro-001"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "256M"
"reservations":
"cpus": "0.1"
"memory": "256M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
- "./vertexai:/vertexai"
"text-completion-rag":
"command":
- "text-completion-vertexai"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "/vertexai/private.json"
- "-r"
- "us-central1"
- "-x"
- "4096"
- "-t"
- "0"
- "-m"
- "gemini-1.0-pro-001"
- "-i"
- "non-persistent://tg/request/text-completion-rag"
- "-o"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "256M"
"reservations":
"cpus": "0.1"
"memory": "256M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
- "./vertexai:/vertexai"
"vectorize":
"command":
- "embeddings-vectorize"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "512M"
"reservations":
"cpus": "0.5"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"cassandra": {}
"grafana-storage": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,484 +0,0 @@
"services":
"chunker":
"command":
- "chunker-token"
- "-p"
- "pulsar://pulsar:6650"
- "--chunk-size"
- "250"
- "--chunk-overlap"
- "15"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"embeddings":
"command":
- "embeddings-hf"
- "-p"
- "pulsar://pulsar:6650"
- "-m"
- "all-MiniLM-L6-v2"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "400M"
"reservations":
"cpus": "0.5"
"memory": "400M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"graph-rag":
"command":
- "graph-rag"
- "-p"
- "pulsar://pulsar:6650"
- "--prompt-request-queue"
- "non-persistent://tg/request/prompt-rag"
- "--prompt-response-queue"
- "non-persistent://tg/response/prompt-rag-response"
- "--entity-limit"
- "50"
- "--triple-limit"
- "30"
- "--max-subgraph-size"
- "3000"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"kg-extract-definitions":
"command":
- "kg-extract-definitions"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"kg-extract-relationships":
"command":
- "kg-extract-relationships"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"neo4j":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "768M"
"reservations":
"cpus": "0.5"
"memory": "768M"
"environment":
"NEO4J_AUTH": "neo4j/password"
"image": "docker.io/neo4j:5.22.0-community-bullseye"
"ports":
- "7474:7474"
- "7687:7687"
"restart": "on-failure:100"
"volumes":
- "neo4j:/data"
"pdf-decoder":
"command":
- "pdf-decoder"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"prompt":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"prompt-rag":
"command":
- "prompt-template"
- "-p"
- "pulsar://pulsar:6650"
- "-i"
- "non-persistent://tg/request/prompt-rag"
- "-o"
- "non-persistent://tg/response/prompt-rag-response"
- "--text-completion-request-queue"
- "non-persistent://tg/request/text-completion-rag"
- "--text-completion-response-queue"
- "non-persistent://tg/response/text-completion-rag-response"
- "--definition-template"
- "<instructions>\nStudy the following text and derive definitions for any discovered entities.\nDo not provide definitions for entities whose definitions are incomplete\nor unknown.\nOutput relationships in JSON format as an arary of objects with fields:\n- entity: the name of the entity\n- definition: English text which defines the entity\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract will be written as plain text. Do not add markdown formatting\nor headers or prefixes. Do not include null or unknown definitions.\n</requirements>"
- "--relationship-template"
- "<instructions>\nStudy the following text and derive entity relationships. For each\nrelationship, derive the subject, predicate and object of the relationship.\nOutput relationships in JSON format as an arary of objects with fields:\n- subject: the subject of the relationship\n- predicate: the predicate\n- object: the object of the relationship\n- object-entity: false if the object is a simple data type: name, value or date. true if it is an entity.\n</instructions>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not use special characters in the abstract text. The\nabstract must be written as plain text. Do not add markdown formatting\nor headers or prefixes.\n</requirements>"
- "--knowledge-query-template"
- |
Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here's the knowledge statements:
{graph}
Use only the provided knowledge statements to respond to the following:
{query}
- "--document-query-template"
- |
Study the following context. Use only the information provided in the context in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
Here is the context:
{documents}
Use only the provided knowledge statements to respond to the following:
{query}
- "--rows-template"
- "<instructions>\nStudy the following text and derive objects which match the schema provided.\n\nYou must output an array of JSON objects for each object you discover\nwhich matches the schema. For each object, output a JSON object whose fields\ncarry the name field specified in the schema.\n</instructions>\n\n<schema>\n{schema}\n</schema>\n\n<text>\n{text}\n</text>\n\n<requirements>\nYou will respond only with raw JSON format data. Do not provide\nexplanations. Do not add markdown formatting or headers or prefixes.\n</requirements>"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"text-completion":
"command":
- "text-completion-vertexai"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "/vertexai/private.json"
- "-r"
- "us-central1"
- "-x"
- "4096"
- "-t"
- "0"
- "-m"
- "gemini-1.0-pro-001"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "256M"
"reservations":
"cpus": "0.1"
"memory": "256M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
- "./vertexai:/vertexai"
"text-completion-rag":
"command":
- "text-completion-vertexai"
- "-p"
- "pulsar://pulsar:6650"
- "-k"
- "/vertexai/private.json"
- "-r"
- "us-central1"
- "-x"
- "4096"
- "-t"
- "0"
- "-m"
- "gemini-1.0-pro-001"
- "-i"
- "non-persistent://tg/request/text-completion-rag"
- "-o"
- "non-persistent://tg/response/text-completion-rag-response"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "256M"
"reservations":
"cpus": "0.1"
"memory": "256M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
- "./vertexai:/vertexai"
"vectorize":
"command":
- "embeddings-vectorize"
- "-p"
- "pulsar://pulsar:6650"
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "512M"
"reservations":
"cpus": "0.5"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"grafana-storage": {}
"neo4j": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,214 +0,0 @@
"services":
"cassandra":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "800M"
"reservations":
"cpus": "0.5"
"memory": "800M"
"environment":
"JVM_OPTS": "-Xms256M -Xmx256M"
"image": "docker.io/cassandra:4.1.6"
"ports":
- "9042:9042"
"restart": "on-failure:100"
"volumes":
- "cassandra:/var/lib/cassandra"
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "512M"
"reservations":
"cpus": "0.1"
"memory": "512M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-cassandra"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "cassandra"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"cassandra": {}
"grafana-storage": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}

View file

@ -1,215 +0,0 @@
"services":
"grafana":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"environment":
"GF_ORG_NAME": "trustgraph.ai"
"image": "docker.io/grafana/grafana:11.1.4"
"ports":
- "3000:3000"
"restart": "on-failure:100"
"volumes":
- "grafana-storage:/var/lib/grafana"
- "./grafana/provisioning/:/etc/grafana/provisioning/dashboards/"
- "./grafana/provisioning/:/etc/grafana/provisioning/datasources/"
- "./grafana/dashboards/:/var/lib/grafana/dashboards/"
"init-pulsar":
"command":
- "sh"
- "-c"
- "while true; do pulsar-admin --admin-url http://pulsar:8080 tenants create tg ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/flow ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/request ; pulsar-admin --admin-url http://pulsar:8080 namespaces create tg/response ; pulsar-admin --admin-url http://pulsar:8080 namespaces set-retention --size -1 --time 3m tg/response; sleep 20; done"
"deploy":
"resources":
"limits":
"cpus": "1"
"memory": "400M"
"reservations":
"cpus": "0.1"
"memory": "400M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"restart": "on-failure:100"
"neo4j":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "768M"
"reservations":
"cpus": "0.5"
"memory": "768M"
"environment":
"NEO4J_AUTH": "neo4j/password"
"image": "docker.io/neo4j:5.22.0-community-bullseye"
"ports":
- "7474:7474"
- "7687:7687"
"restart": "on-failure:100"
"volumes":
- "neo4j:/data"
"prometheus":
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/prom/prometheus:v2.53.2"
"ports":
- "9090:9090"
"restart": "on-failure:100"
"volumes":
- "./prometheus:/etc/prometheus/"
- "prometheus-data:/prometheus"
"pulsar":
"command":
- "bin/pulsar"
- "standalone"
"deploy":
"resources":
"limits":
"cpus": "2.0"
"memory": "1500M"
"reservations":
"cpus": "1.0"
"memory": "1500M"
"environment":
"PULSAR_MEM": "-Xms600M -Xmx600M"
"image": "docker.io/apachepulsar/pulsar:3.3.1"
"ports":
- "6650:6650"
- "8080:8080"
"restart": "on-failure:100"
"volumes":
- "pulsar-data:/pulsar/data"
"qdrant":
"deploy":
"resources":
"limits":
"cpus": "1.0"
"memory": "256M"
"reservations":
"cpus": "0.5"
"memory": "256M"
"image": "docker.io/qdrant/qdrant:v1.11.1"
"ports":
- "6333:6333"
- "6334:6334"
"restart": "on-failure:100"
"volumes":
- "qdrant:/qdrant/storage"
"query-doc-embeddings":
"command":
- "de-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-graph-embeddings":
"command":
- "ge-query-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"query-triples":
"command":
- "triples-query-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-doc-embeddings":
"command":
- "de-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-graph-embeddings":
"command":
- "ge-write-qdrant"
- "-p"
- "pulsar://pulsar:6650"
- "-t"
- "http://qdrant:6333"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"store-triples":
"command":
- "triples-write-neo4j"
- "-p"
- "pulsar://pulsar:6650"
- "-g"
- "bolt://neo4j:7687"
"deploy":
"resources":
"limits":
"cpus": "0.5"
"memory": "128M"
"reservations":
"cpus": "0.1"
"memory": "128M"
"image": "docker.io/trustgraph/trustgraph-flow:0.9.3"
"restart": "on-failure:100"
"volumes":
"grafana-storage": {}
"neo4j": {}
"prometheus-data": {}
"pulsar-data": {}
"qdrant": {}