0fa7865cee
- Add base_url parameter to GraphitiEmbedderConfig - Support EMBEDDER_BASE_URL, EMBEDDER_API_KEY, EMBEDDER_MODEL_NAME env vars - Update docker-compose.yml to pass embedder environment variables - Add documentation in README.md and .env.example - Enables use of Ollama, Voyage, and other OpenAI-compatible embedding services Partially resolves #912, #517
51 lines
1.5 KiB
YAML
51 lines
1.5 KiB
YAML
services:
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neo4j:
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image: neo4j:5.26.0
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ports:
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- "7474:7474" # HTTP
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- "7687:7687" # Bolt
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environment:
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- NEO4J_AUTH=${NEO4J_USER:-neo4j}/${NEO4J_PASSWORD:-demodemo}
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- NEO4J_server_memory_heap_initial__size=512m
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- NEO4J_server_memory_heap_max__size=1G
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- NEO4J_server_memory_pagecache_size=512m
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volumes:
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- neo4j_data:/data
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- neo4j_logs:/logs
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healthcheck:
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test: ["CMD", "wget", "-O", "/dev/null", "http://localhost:7474"]
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interval: 10s
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timeout: 5s
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retries: 5
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start_period: 30s
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graphiti-mcp:
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image: zepai/knowledge-graph-mcp:latest
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build:
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context: .
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dockerfile: Dockerfile
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env_file:
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- path: .env
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required: false # Makes the file optional. Default value is 'true'
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depends_on:
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neo4j:
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condition: service_healthy
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environment:
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- NEO4J_URI=${NEO4J_URI:-bolt://neo4j:7687}
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- NEO4J_USER=${NEO4J_USER:-neo4j}
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- NEO4J_PASSWORD=${NEO4J_PASSWORD:-demodemo}
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- OPENAI_API_KEY=${OPENAI_API_KEY}
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- OPENAI_BASE_URL=${OPENAI_BASE_URL}
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- MODEL_NAME=${MODEL_NAME}
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- EMBEDDER_API_KEY=${EMBEDDER_API_KEY}
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- EMBEDDER_BASE_URL=${EMBEDDER_BASE_URL}
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- EMBEDDER_MODEL_NAME=${EMBEDDER_MODEL_NAME}
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- PATH=/root/.local/bin:${PATH}
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- SEMAPHORE_LIMIT=${SEMAPHORE_LIMIT:-10}
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ports:
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- "8000:8000" # Expose the MCP server via HTTP for SSE transport
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command: ["uv", "run", "graphiti_mcp_server.py", "--transport", "sse"]
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volumes:
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neo4j_data:
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neo4j_logs:
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