trustgraph/ai-context/trustgraph-templates/trustgraph_configurator/templates/2.1

TrustGraph template generation

There are two utilities here:

• generate: Generates a single Docker Compose launch configuration based on configuration you provide.
• generate-all: Generates the release bundle for releases. You won't need to use this unless you are managing releases.

generate-all

Previously, this generates a full set of all vector DB / triple store / LLM combinations, and put them in a single ZIP file. But this got out of hand, so at the time of writing, this generates a single configuraton using Qdrant vector DB, Ollama LLM support and Cassandra for a triple store.

The combinations are contained withing the code, it takes two arguments:

• output ZIP file (is over-written)
• TrustGraph version number

templates/generate-all output.zip 0.18.11

generate

This utility takes a configuration file describing the components to bundle, and outputs a Docker Compose YAML file.

Input configuration

The input configuration is a JSON file, an array of components to pull into the configuration. For each component, there is a name and a (possibly empty) object describing addtional parameters for that component.

Example:

[
    {
        "name": "cassandra",
        "parameters": {}
    },
    {
        "name": "pulsar",
        "parameters": {}
    },
    {
        "name": "qdrant",
        "parameters": {}
    },
    {
        "name": "embeddings-hf",
        "parameters": {}
    },
    {
        "name": "graph-rag",
        "parameters": {}
    },
    {
        "name": "grafana",
        "parameters": {}
    },
    {
        "name": "trustgraph",
        "parameters": {}
    },
    {
        "name": "googleaistudio",
        "parameters": {
            "googleaistudio-temperature": 0.3,
            "googleaistudio-max-output-tokens": 2048,
            "googleaistudio-model": "gemini-1.5-pro-002"
        }
    },
    {
        "name": "prompt-template",
        "parameters": {}
    },
    {
        "name": "override-recursive-chunker",
        "parameters": {
            "chunk-size": 1000,
            "chunk-overlap": 50
        }
    },
    {
        "name": "workbench-ui",
        "parameters": {}
    },
    {
        "name": "agent-manager-react",
        "parameters": {}
    }
]

If you want to make your own configuration you could try changing the configuration above:

• Components which are essential: pulsar, trustgraph, graph-rag, grafana, agent-manager-react
• You need a triple store, one of: cassandra, memgraph, falkordb, neo4j
• You need a vector store, one of: qdrant, pinecone
• You need an LLM, one of: azure, azure-openai, bedrock, claude, cohere, llamafile, ollama, openai, vertexai.
• You need an embeddings implementation, one of: embeddings-hf, embeddings-ollama
• Optionally add the Workbench tool: workbench-ui

Components have over-ridable parameters, look in the component definition in templates/components/ to see what you can override.

Invocation

Two parameters:

• The output ZIP file
• The version number

The configuration file described above is provided on standard input

templates/generate out.zip 0.18.9 < config.json