Ernie Cook
11c3f705ce
- Add Python project with uv package manager - Implement LlamaIndex + ChromaDB RAG pipeline - Add sentence-transformers for local embeddings (all-MiniLM-L6-v2) - Create MCP server with semantic search, indexing, and stats tools - Add Markdown chunker with heading/wikilink/frontmatter support - Add Dockerfile and docker-compose.yaml for self-hosted deployment - Include sample Obsidian vault files for testing - Add .gitignore and .env.example
33 lines
952 B
YAML
33 lines
952 B
YAML
version: "3.8"
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services:
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knowledge-rag:
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build:
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context: .
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dockerfile: Dockerfile
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container_name: knowledge-rag
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volumes:
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# Mount your obsidian vault here
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- ${VAULT_PATH:-./knowledge}:/data/vault
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# Persist ChromaDB vector store
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- ./data/chroma_db:/data/chroma_db
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# Persist embeddings cache
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- ./data/embeddings_cache:/data/embeddings_cache
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environment:
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- VAULT_PATH=/data/vault
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- EMBEDDING_MODEL=${EMBEDDING_MODEL:-all-MiniLM-L6-v2}
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- EMBEDDINGS_CACHE_DIR=/data/embeddings_cache
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restart: unless-stopped
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# Optional: Watchtower for auto-updates
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# watchtower:
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# image: containrr/watchtower
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# container_name: watchtower
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# volumes:
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# - /var/run/docker.sock:/var/run/docker.sock
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# environment:
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# - WATCHTOWER_CLEANUP=true
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# - WATCHTOWER_INCLUDE_STOPPED=true
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# command: --interval 3600 knowledge-rag
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# restart: unless-stopped
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