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
34 lines
714 B
Docker
34 lines
714 B
Docker
FROM python:3.11-slim
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# Install system dependencies for sentence-transformers
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RUN apt-get update && apt-get install -y --no-install-recommends \
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gcc \
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g++ \
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&& rm -rf /var/lib/apt/lists/*
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# Set working directory
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WORKDIR /app
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# Install uv
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RUN pip install uv
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# Copy pyproject.toml
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COPY pyproject.toml .
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# Install dependencies
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RUN uv sync --frozen --no-dev
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# Copy source code
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COPY src/ ./src/
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# Create data directories
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RUN mkdir -p /data/vault /data/chroma_db /data/embeddings_cache
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# Set environment variables
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ENV PYTHONUNBUFFERED=1 \
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VAULT_PATH=/data/vault \
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EMBEDDINGS_CACHE_DIR=/data/embeddings_cache
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# Default command runs the MCP server
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CMD ["python", "-m", "knowledge_rag.server"]
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