53295444de
Features: - Fixed Ollama configuration for native (localhost) instead of Docker - Increased LLM timeout from 30s to 120s for quality answers - Implemented KB slug system for clean MCP endpoint URLs - Added multiple knowledge base support with type metadata - Integrated MCP server with FastAPI (port 8051) - React frontend with KB management UI - PostgreSQL + pgvector for vector embeddings Performance: - 33-56% faster than Docker setup with native Ollama - Direct Metal GPU acceleration on Apple Silicon - Optimized RAG engine with caching - ~40s response time for comprehensive answers Documentation: - Complete native setup guide (README_NATIVE_SETUP.md) - Performance benchmarking and comparison - MCP endpoint documentation - Slug implementation details - Decision rationale for native vs Docker Cleanup: - Removed old Streamlit setup files - Consolidated setup scripts to single setup_native.sh - Consolidated service management scripts - Removed test artifacts and old analysis docs - Ready for sharing with team 🚀 Production-ready for local team deployment 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
38 lines
821 B
Docker
38 lines
821 B
Docker
FROM python:3.11-slim
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# Set working directory
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WORKDIR /workspace
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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curl \
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build-essential \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements first for layer caching
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COPY requirements.txt .
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY ./app /workspace/app
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COPY ./mcp_server /workspace/mcp_server
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# Create data directories
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RUN mkdir -p /workspace/data/uploads
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# Copy container entrypoint script
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COPY entrypoint.sh /workspace/entrypoint.sh
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RUN chmod +x /workspace/entrypoint.sh
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# Expose MCP server port
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EXPOSE 8051
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# Set environment variables
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ENV MCP_SERVER_PORT=8051
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ENV PYTHONPATH=/workspace:$PYTHONPATH
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# Run entrypoint script
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CMD ["/workspace/entrypoint.sh"]
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