50 lines
1.8 KiB
Text
50 lines
1.8 KiB
Text
# Graphiti MCP Server Environment Configuration
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# Database Configuration
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# Choose between 'neo4j' or 'falkordb'
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DATABASE_TYPE=falkordb
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# These settings are used to connect to your Neo4j database
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NEO4J_URI=bolt://localhost:7687
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NEO4J_USER=neo4j
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NEO4J_PASSWORD=demodemo
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# These settings are used to connect to your FalkorDB database
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FALKORDB_PORT=6379
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FALKORDB_HOST=localhost
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FALKORDB_USER=
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FALKORDB_PASSWORD=
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# OpenAI API Configuration
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# Required for LLM operations
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OPENAI_API_KEY=your_openai_api_key_here
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MODEL_NAME=gpt-4.1-mini
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# Embedding Service Configuration (Optional)
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# Use these to configure a separate embedding service (e.g., Ollama, Voyage, or custom OpenAI-compatible service)
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# EMBEDDER_API_KEY=your_embedder_api_key_here # Defaults to OPENAI_API_KEY if not set
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# EMBEDDER_BASE_URL=http://localhost:11434/v1 # For Ollama or other OpenAI-compatible endpoints
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# EMBEDDER_MODEL_NAME=nomic-embed-text # Model name for embedding service
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# Optional: Only needed for non-standard OpenAI endpoints
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# OPENAI_BASE_URL=https://api.openai.com/v1
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# Optional: Group ID for namespacing graph data
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# GROUP_ID=my_project
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# Optional: Path configuration for Docker
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# PATH=/root/.local/bin:${PATH}
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# Optional: Memory settings for Neo4j (used in Docker Compose)
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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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# Azure OpenAI configuration
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# Optional: Only needed for Azure OpenAI endpoints
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# AZURE_OPENAI_ENDPOINT=your_azure_openai_endpoint_here
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# AZURE_OPENAI_API_VERSION=2025-01-01-preview
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# AZURE_OPENAI_DEPLOYMENT_NAME=gpt-4o-gpt-4o-mini-deployment
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# AZURE_OPENAI_EMBEDDING_API_VERSION=2023-05-15
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# AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME=text-embedding-3-large-deployment
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# AZURE_OPENAI_USE_MANAGED_IDENTITY=false
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