mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-06-22 05:08:06 +02:00
Template rejig (#48)
* document-rag / graph-rag refactor of templates * Tweaking the docs and categories * Clarify triple store vs RAG * Tweak knowledge graph linkage * Doc embedding for Qdrant * Fix document RAG on Qdrant * Fix templates * Bump version * Updated templates
This commit is contained in:
cybermaggedon
GitHub
parent
121f7bb776
commit
208c219962
47 changed files with 1407 additions and 454 deletions
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@ -1,15 +1,11 @@
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[
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import "patterns/pulsar.jsonnet",
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import "patterns/pulsar-manager.jsonnet",
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import "patterns/trustgraph-base.jsonnet",
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import "patterns/graph-rag-cassandra.jsonnet",
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import "patterns/graph-rag-neo4j.jsonnet",
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import "patterns/prompt-template-kg-query.jsonnet",
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import "patterns/prompt-template-definitions.jsonnet",
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import "patterns/prompt-template-relationships.jsonnet",
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import "patterns/prompt-template-document-query.jsonnet",
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import "patterns/prompt-template-rows-template.jsonnet",
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import "patterns/override-recursive-chunker.jsonnet",
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import "patterns/document-rag.jsonnet",
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import "patterns/embeddings-hf.jsonnet",
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import "patterns/embeddings-ollama.jsonnet",
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import "patterns/grafana.jsonnet",
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import "patterns/triple-store-cassandra.jsonnet",
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import "patterns/triple-store-neo4j.jsonnet",
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import "patterns/graph-rag.jsonnet",
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import "patterns/llm-azure.jsonnet",
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import "patterns/llm-bedrock.jsonnet",
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import "patterns/llm-claude.jsonnet",
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@ -17,7 +13,15 @@
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import "patterns/llm-ollama.jsonnet",
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import "patterns/llm-openai.jsonnet",
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import "patterns/llm-vertexai.jsonnet",
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import "patterns/override-recursive-chunker.jsonnet",
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import "patterns/prompt-template-definitions.jsonnet",
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import "patterns/prompt-template-document-query.jsonnet",
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import "patterns/prompt-template-kg-query.jsonnet",
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import "patterns/prompt-template-relationships.jsonnet",
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import "patterns/prompt-template-rows-template.jsonnet",
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import "patterns/pulsar-manager.jsonnet",
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import "patterns/pulsar.jsonnet",
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import "patterns/trustgraph-base.jsonnet",
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import "patterns/vector-store-milvus.jsonnet",
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import "patterns/vector-store-qdrant.jsonnet",
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import "patterns/grafana.jsonnet",
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]
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38
templates/components/document-rag.jsonnet
Normal file
38
templates/components/document-rag.jsonnet
Normal file
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@ -0,0 +1,38 @@
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local base = import "base/base.jsonnet";
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local images = import "values/images.jsonnet";
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local url = import "values/url.jsonnet";
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local prompts = import "prompt-template.jsonnet";
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{
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services +: {
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"document-rag": base + {
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image: images.trustgraph,
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command: [
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"document-rag",
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"-p",
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url.pulsar,
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"--prompt-request-queue",
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"non-persistent://tg/request/prompt-rag",
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"--prompt-response-queue",
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"non-persistent://tg/response/prompt-rag-response",
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],
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deploy: {
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resources: {
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limits: {
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cpus: '0.5',
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memory: '128M'
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},
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reservations: {
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cpus: '0.1',
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memory: '128M'
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}
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}
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},
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},
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}
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} + prompts
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40
templates/components/embeddings-hf.jsonnet
Normal file
40
templates/components/embeddings-hf.jsonnet
Normal file
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@ -0,0 +1,40 @@
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local base = import "base/base.jsonnet";
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local images = import "values/images.jsonnet";
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local url = import "values/url.jsonnet";
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local prompts = import "prompt-template.jsonnet";
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{
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"embeddings-model":: "all-MiniLM-L6-v2",
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services +: {
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embeddings: base + {
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image: images.trustgraph,
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command: [
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"embeddings-hf",
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"-p",
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url.pulsar,
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"-m",
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$["embeddings-model"],
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],
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deploy: {
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resources: {
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limits: {
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cpus: '1.0',
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memory: '256M'
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},
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reservations: {
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cpus: '0.5',
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memory: '256M'
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}
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}
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},
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},
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}
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} + prompts
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41
templates/components/embeddings-ollama.yaml
Normal file
41
templates/components/embeddings-ollama.yaml
Normal file
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local base = import "base/base.jsonnet";
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local images = import "values/images.jsonnet";
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local url = import "values/url.jsonnet";
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local prompts = import "prompt-template.jsonnet";
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{
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"embeddings-model":: "mxbai-embed-large",
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"ollama-url":: "${OLLAMA_HOST}",
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services +: {
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embeddings: base + {
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image: images.trustgraph,
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command: [
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"embeddings-ollama",
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"-p",
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url.pulsar,
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"-m",
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$["embeddings-model"],
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"-r",
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$["ollama-url"],
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],
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deploy: {
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resources: {
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limits: {
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cpus: '0.5',
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memory: '128M'
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},
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reservations: {
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cpus: '0.1',
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memory: '128M'
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}
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}
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},
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},
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}
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} + prompts
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92
templates/components/graph-rag.jsonnet
Normal file
92
templates/components/graph-rag.jsonnet
Normal file
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@ -0,0 +1,92 @@
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local base = import "base/base.jsonnet";
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local images = import "values/images.jsonnet";
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local url = import "values/url.jsonnet";
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local prompts = import "prompt-template.jsonnet";
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{
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"graph-rag-entity-limit":: 50,
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"graph-rag-triple-limit":: 30,
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"graph-rag-max-subgraph-size":: 3000,
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services +: {
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"kg-extract-definitions": base + {
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image: images.trustgraph,
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command: [
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"kg-extract-definitions",
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"-p",
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url.pulsar,
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],
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deploy: {
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resources: {
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limits: {
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cpus: '0.5',
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memory: '128M'
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},
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reservations: {
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cpus: '0.1',
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memory: '128M'
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}
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}
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},
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},
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"kg-extract-relationships": base + {
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image: images.trustgraph,
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command: [
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"kg-extract-relationships",
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"-p",
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url.pulsar,
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],
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deploy: {
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resources: {
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limits: {
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cpus: '0.5',
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memory: '128M'
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},
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reservations: {
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cpus: '0.1',
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memory: '128M'
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}
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}
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},
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},
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"graph-rag": base + {
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image: images.trustgraph,
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command: [
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"graph-rag",
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"-p",
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url.pulsar,
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"--prompt-request-queue",
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"non-persistent://tg/request/prompt-rag",
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"--prompt-response-queue",
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"non-persistent://tg/response/prompt-rag-response",
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"--entity-limit",
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std.toString($["graph-rag-entity-limit"]),
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"--triple-limit",
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std.toString($["graph-rag-triple-limit"]),
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"--max-subgraph-size",
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std.toString($["graph-rag-max-subgraph-size"]),
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],
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deploy: {
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resources: {
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limits: {
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cpus: '0.5',
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memory: '128M'
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},
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reservations: {
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cpus: '0.1',
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memory: '128M'
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}
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}
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},
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},
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}
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} + prompts
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@ -53,10 +53,7 @@ milvus + {
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},
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},
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/*
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// Document embeddings writer & query service. Not currently enabled.
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// Document embeddings writer & query service.
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"store-doc-embeddings": base + {
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image: images.trustgraph,
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command: [
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@ -103,8 +100,6 @@ milvus + {
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},
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},
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*/
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}
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}
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@ -3,8 +3,11 @@ local images = import "values/images.jsonnet";
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local url = import "values/url.jsonnet";
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local prompts = import "prompts/slm.jsonnet";
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{
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"ollama-model":: "gemma2:9b",
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"ollama-url":: "${OLLAMA_HOST}",
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services +: {
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"ollama-model":: "gemma2:9b",
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"text-completion": base + {
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image: images.trustgraph,
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@ -15,7 +18,7 @@ local prompts = import "prompts/slm.jsonnet";
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"-m",
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$["ollama-model"],
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"-r",
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"${OLLAMA_HOST}",
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$["ollama-url"],
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],
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deploy: {
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resources: {
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@ -40,7 +43,7 @@ local prompts = import "prompts/slm.jsonnet";
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"-m",
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$["ollama-model"],
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"-r",
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"${OLLAMA_HOST}",
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$["ollama-url"],
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"-i",
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"non-persistent://tg/request/text-completion-rag",
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"-o",
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@ -53,9 +53,7 @@ qdrant + {
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},
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},
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/*
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// Document embeddings writer & query service. Not currently enabled.
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// Document embeddings writer & query service.
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"store-doc-embeddings": base + {
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image: images.trustgraph,
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@ -103,8 +101,6 @@ qdrant + {
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},
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},
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*/
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}
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}
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@ -7,10 +7,6 @@ local prompts = import "prompt-template.jsonnet";
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"chunk-size":: 250,
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"chunk-overlap":: 15,
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"embeddings-model":: "all-MiniLM-L6-v2",
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"graph-rag-entity-limit":: 50,
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"graph-rag-triple-limit":: 30,
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"graph-rag-max-subgraph-size":: 3000,
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services +: {
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@ -81,102 +77,6 @@ local prompts = import "prompt-template.jsonnet";
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},
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},
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embeddings: base + {
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image: images.trustgraph,
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command: [
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"embeddings-hf",
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"-p",
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url.pulsar,
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"-m",
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$["embeddings-model"],
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],
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deploy: {
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resources: {
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limits: {
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cpus: '1.0',
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memory: '256M'
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},
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reservations: {
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cpus: '0.5',
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memory: '256M'
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}
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}
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},
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},
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"kg-extract-definitions": base + {
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image: images.trustgraph,
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command: [
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"kg-extract-definitions",
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"-p",
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url.pulsar,
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],
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deploy: {
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resources: {
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limits: {
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cpus: '0.5',
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memory: '128M'
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},
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reservations: {
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cpus: '0.1',
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memory: '128M'
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}
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}
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},
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},
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"kg-extract-relationships": base + {
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image: images.trustgraph,
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command: [
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"kg-extract-relationships",
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"-p",
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url.pulsar,
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],
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deploy: {
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resources: {
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limits: {
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cpus: '0.5',
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memory: '128M'
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},
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reservations: {
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cpus: '0.1',
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memory: '128M'
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}
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}
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},
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},
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"graph-rag": base + {
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image: images.trustgraph,
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command: [
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"graph-rag",
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"-p",
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url.pulsar,
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"--prompt-request-queue",
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"non-persistent://tg/request/prompt-rag",
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"--prompt-response-queue",
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"non-persistent://tg/response/prompt-rag-response",
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"--entity-limit",
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std.toString($["graph-rag-entity-limit"]),
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"--triple-limit",
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std.toString($["graph-rag-triple-limit"]),
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"--max-subgraph-size",
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std.toString($["graph-rag-max-subgraph-size"]),
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],
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deploy: {
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resources: {
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limits: {
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cpus: '0.5',
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memory: '128M'
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},
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reservations: {
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cpus: '0.1',
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memory: '128M'
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}
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}
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},
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},
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}
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} + prompts
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|
|
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@ -3,9 +3,13 @@ local components = {
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"bedrock": import "components/bedrock.jsonnet",
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"claude": import "components/claude.jsonnet",
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"cohere": import "components/cohere.jsonnet",
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"document-rag": import "components/document-rag.jsonnet",
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"embeddings-hf": import "components/embeddings-hf.jsonnet",
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"embeddings-ollama": import "components/embeddings-ollama.jsonnet",
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"grafana": import "components/grafana.jsonnet",
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"graph-rag-cassandra": import "components/cassandra.jsonnet",
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"graph-rag-neo4j": import "components/neo4j.jsonnet",
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"graph-rag": import "components/graph-rag.jsonnet",
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"triple-store-cassandra": import "components/cassandra.jsonnet",
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"triple-store-neo4j": import "components/neo4j.jsonnet",
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"ollama": import "components/ollama.jsonnet",
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"openai": import "components/openai.jsonnet",
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"override-recursive-chunker": import "components/chunker-recursive.jsonnet",
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|
|
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|
@ -14,6 +14,10 @@ local components = {
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openai: import "components/openai.jsonnet",
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mix: import "components/mix.jsonnet",
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vertexai: import "components/vertexai.jsonnet",
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"embeddings-hf": import "components/embeddings-hf.jsonnet",
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"embeddings-ollama": import "components/embeddings-ollama.jsonnet",
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"graph-rag": import "components/graph-rag.jsonnet",
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"document-rag": import "components/document-rag.jsonnet",
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};
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local options = std.split(std.extVar("options"), ",");
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|
|
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14
templates/patterns/document-rag.jsonnet
Normal file
14
templates/patterns/document-rag.jsonnet
Normal file
|
|
@ -0,0 +1,14 @@
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{
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||||
pattern: {
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||||
name: "document-rag",
|
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icon: "🤝😂",
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title: "Add DocumentRAG processing flow",
|
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description: "This pattern adds DocumentRAG components for extracting and querying documents based on document embeddings. You should make sure a vector store is included in your plan.",
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requires: ["pulsar", "trustgraph", "llm"],
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features: ["document-rag"],
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args: [
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],
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category: [ "processing" ],
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},
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||||
module: "components/document-rag.jsonnet",
|
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}
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26
templates/patterns/embeddings-hf.jsonnet
Normal file
26
templates/patterns/embeddings-hf.jsonnet
Normal file
|
|
@ -0,0 +1,26 @@
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{
|
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pattern: {
|
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name: "embeddings-hf",
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||||
icon: "🤖💬",
|
||||
title: "Add embeddings model which uses HuggingFace models",
|
||||
description: "This pattern integrates an embeddings model based on HuggingFace sentence-transformer library.",
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||||
requires: ["pulsar", "trustgraph"],
|
||||
features: ["llm"],
|
||||
args: [
|
||||
{
|
||||
name: "embeddings-model",
|
||||
label: "Embeddings model",
|
||||
type: "select",
|
||||
description: "Embeddings model for sentence analysis",
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||||
options: [
|
||||
{ id: "all-MiniLM-L6-v2", description: "all-MiniLM-L6-v2" },
|
||||
{ id: "mixedbread-ai/mxbai-embed-large-v1", description: "mxbai-embed-large-v1" },
|
||||
],
|
||||
default: "all-MiniLM-L6-v2",
|
||||
required: true,
|
||||
},
|
||||
],
|
||||
category: [ "embeddings" ],
|
||||
},
|
||||
module: "components/embeddings-hf.jsonnet",
|
||||
}
|
||||
34
templates/patterns/embeddings-ollama.jsonnet
Normal file
34
templates/patterns/embeddings-ollama.jsonnet
Normal file
|
|
@ -0,0 +1,34 @@
|
|||
{
|
||||
pattern: {
|
||||
name: "embeddings-ollama",
|
||||
icon: "🤖💬",
|
||||
title: "Add embeddings model hosted on Ollama",
|
||||
description: "This pattern integrates an embeddings model based on HuggingFace sentence-transformer library.",
|
||||
requires: ["pulsar", "trustgraph"],
|
||||
features: ["llm"],
|
||||
args: [
|
||||
{
|
||||
name: "embeddings-model",
|
||||
label: "Embeddings model",
|
||||
type: "select",
|
||||
description: "Embeddings model for sentence analysis",
|
||||
options: [
|
||||
{ id: "mxbai-embed-large", description: "mxbai-embed-large" },
|
||||
],
|
||||
default: "mxbai-embed-large",
|
||||
required: true,
|
||||
},
|
||||
{
|
||||
name: "ollama-url",
|
||||
label: "URL",
|
||||
type: "text",
|
||||
width: 120,
|
||||
description: "URL of the Ollama service",
|
||||
default: "http://ollama:11434",
|
||||
required: true,
|
||||
},
|
||||
],
|
||||
category: [ "embeddings" ],
|
||||
},
|
||||
module: "components/embeddings-hf.jsonnet",
|
||||
}
|
||||
|
|
@ -1,13 +0,0 @@
|
|||
{
|
||||
pattern: {
|
||||
name: "graph-rag-cassandra",
|
||||
icon: "🖇️🙋♀️",
|
||||
title: "Add GraphRAG indexing and querying using Cassandra",
|
||||
description: "The core Trustgraph deployment does not include a GraphRag store; this pattern adds the Cassandra store, and adds GraphRAG adapters so that Cassandra is integrated with GraphRag indexing and querying.",
|
||||
requires: ["pulsar", "trustgraph"],
|
||||
features: ["cassandra", "rag"],
|
||||
args: [],
|
||||
category: ["knowledge-graph"],
|
||||
},
|
||||
module: "components/cassandra.jsonnet",
|
||||
}
|
||||
|
|
@ -1,13 +0,0 @@
|
|||
{
|
||||
pattern: {
|
||||
name: "graph-rag-neo4j",
|
||||
icon: "🖇️🙋♀️",
|
||||
title: "Deploys GraphRAG indexing and querying using a Neo4j community edition store",
|
||||
description: "The core Trustgraph deployment does not include a GraphRag store; this pattern adds the Neo4j store, and adds GraphRAG adapters so that Neo4j is integrated with GraphRag indexing and querying.",
|
||||
requires: ["pulsar", "trustgraph"],
|
||||
features: ["neo4j", "rag"],
|
||||
args: [],
|
||||
category: [ "knowledge-graph" ],
|
||||
},
|
||||
module: "components/neo4j.jsonnet",
|
||||
}
|
||||
38
templates/patterns/graph-rag.jsonnet
Normal file
38
templates/patterns/graph-rag.jsonnet
Normal file
|
|
@ -0,0 +1,38 @@
|
|||
{
|
||||
pattern: {
|
||||
name: "graph-rag",
|
||||
icon: "🤝😂",
|
||||
title: "Add GraphRAG processing flow",
|
||||
description: "This pattern adds GraphRAG components for extracting and querying graph edges. You should make sure a triple store and vector store are included in your plan.",
|
||||
requires: ["pulsar", "trustgraph", "llm"],
|
||||
features: ["graph-rag"],
|
||||
args: [
|
||||
{
|
||||
name: "graph-rag-entity-limit",
|
||||
label: "GraphRAG entity query limit",
|
||||
type: "integer",
|
||||
description: "Limit on entities to fetch from vector store",
|
||||
default: 50,
|
||||
required: true,
|
||||
},
|
||||
{
|
||||
name: "graph-rag-triple-limit",
|
||||
label: "GraphRAG triple query limit",
|
||||
type: "integer",
|
||||
description: "Limit on triples to fetch from triple store",
|
||||
default: 30,
|
||||
required: true,
|
||||
},
|
||||
{
|
||||
name: "graph-rag-max-subgraph-size",
|
||||
label: "GraphRAG maximum subgraph size",
|
||||
type: "integer",
|
||||
description: "Limit on size of subgraph to present to text-completion model",
|
||||
default: 3000,
|
||||
required: true,
|
||||
},
|
||||
],
|
||||
category: [ "processing" ],
|
||||
},
|
||||
module: "components/trustgraph.jsonnet",
|
||||
}
|
||||
|
|
@ -25,6 +25,15 @@
|
|||
step: 0.05,
|
||||
default: 0.5,
|
||||
},
|
||||
{
|
||||
name: "ollama-url",
|
||||
label: "URL",
|
||||
type: "text",
|
||||
width: 120,
|
||||
description: "URL of the Ollama service",
|
||||
default: "http://ollama:11434",
|
||||
required: true,
|
||||
},
|
||||
],
|
||||
category: [ "llm" ],
|
||||
},
|
||||
|
|
|
|||
13
templates/patterns/triple-store-cassandra.jsonnet
Normal file
13
templates/patterns/triple-store-cassandra.jsonnet
Normal file
|
|
@ -0,0 +1,13 @@
|
|||
{
|
||||
pattern: {
|
||||
name: "triple-store-cassandra",
|
||||
icon: "🖇️🙋♀️",
|
||||
title: "Adds a Cassandra store configured to act as a triple store",
|
||||
description: "GraphRAG processing needs a triple store. This pattern adds a Cassandra store, along with plumbing so that Cassandra is integrated with GraphRag indexing and querying.",
|
||||
requires: ["pulsar", "trustgraph"],
|
||||
features: ["cassandra", "triple-store"],
|
||||
args: [],
|
||||
category: ["knowledge-graph"],
|
||||
},
|
||||
module: "components/cassandra.jsonnet",
|
||||
}
|
||||
13
templates/patterns/triple-store-neo4j.jsonnet
Normal file
13
templates/patterns/triple-store-neo4j.jsonnet
Normal file
|
|
@ -0,0 +1,13 @@
|
|||
{
|
||||
pattern: {
|
||||
name: "triple-store-neo4j",
|
||||
icon: "🖇️🙋♀️",
|
||||
title: "Adds a Neo4j store configured to act as a triple store.",
|
||||
description: "GraphRAG processing needs a triple store. This pattern adds a Cassandra store, along with plumbing so that Cassandra is integrated with GraphRag indexing and querying.",
|
||||
requires: ["pulsar", "trustgraph"],
|
||||
features: ["neo4j", "triple-store"],
|
||||
args: [],
|
||||
category: [ "knowledge-graph" ],
|
||||
},
|
||||
module: "components/neo4j.jsonnet",
|
||||
}
|
||||
|
|
@ -7,41 +7,6 @@
|
|||
requires: ["pulsar"],
|
||||
features: ["trustgraph"],
|
||||
args: [
|
||||
{
|
||||
name: "embeddings-model",
|
||||
label: "Embeddings model",
|
||||
type: "select",
|
||||
description: "Embeddings model for sentence analysis",
|
||||
options: [
|
||||
{ id: "all-MiniLM-L6-v2", description: "all-MiniLM-L6-v2" },
|
||||
],
|
||||
default: "all-MiniLM-L6-v2",
|
||||
required: true,
|
||||
},
|
||||
{
|
||||
name: "graph-rag-entity-limit",
|
||||
label: "GraphRAG entity query limit",
|
||||
type: "integer",
|
||||
description: "Limit on entities to fetch from vector store",
|
||||
default: 50,
|
||||
required: true,
|
||||
},
|
||||
{
|
||||
name: "graph-rag-triple-limit",
|
||||
label: "GraphRAG triple query limit",
|
||||
type: "integer",
|
||||
description: "Limit on triples to fetch from triple store",
|
||||
default: 30,
|
||||
required: true,
|
||||
},
|
||||
{
|
||||
name: "graph-rag-max-subgraph-size",
|
||||
label: "GraphRAG maximum subgraph size",
|
||||
type: "integer",
|
||||
description: "Limit on size of subgraph to present to text-completion model",
|
||||
default: 3000,
|
||||
required: true,
|
||||
},
|
||||
],
|
||||
category: [ "foundation" ],
|
||||
},
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue