ryan
438399646f
Consolidate onto PostgreSQL by using pgvector instead of a separate ChromaDB instance. This removes a Docker volume, a large dependency, and simplifies the stack without meaningful performance impact at our document scale. - Swap langchain-chroma for langchain-postgres (PGVector) - Use pgvector/pgvector:pg16 Docker image with init script - Lazy-initialize vector store to avoid eager DB connections - Add SQL helpers for stats/delete/list (replacing _collection access) - Remove legacy main.py, chunker, petmd scraper, and /api/query endpoint Re-index required after deploy (POST /api/rag/index + /index-obsidian). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
53 lines
1.1 KiB
Docker
53 lines
1.1 KiB
Docker
FROM python:3.13-slim
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WORKDIR /app
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# Install system dependencies, Node.js, uv, and yarn
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RUN apt-get update && apt-get install -y \
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build-essential \
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curl \
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&& curl -fsSL https://deb.nodesource.com/setup_20.x | bash - \
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&& apt-get install -y nodejs \
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&& npm install -g yarn \
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&& rm -rf /var/lib/apt/lists/* \
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&& curl -LsSf https://astral.sh/uv/install.sh | sh
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# Add uv to PATH
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ENV PATH="/root/.local/bin:$PATH"
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# Copy dependency files
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COPY pyproject.toml ./
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# Install Python dependencies using uv
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RUN uv pip install --system -e .
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# Copy frontend package files and install dependencies
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COPY raggr-frontend/package.json raggr-frontend/yarn.lock* raggr-frontend/
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WORKDIR /app/raggr-frontend
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RUN yarn install
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# Copy application source code
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WORKDIR /app
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COPY . .
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# Build frontend
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WORKDIR /app/raggr-frontend
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RUN yarn build
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# Create database directory
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WORKDIR /app
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RUN mkdir -p /app/database
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# Make startup script executable
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RUN chmod +x /app/startup-dev.sh
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# Set environment variables
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ENV PYTHONPATH=/app
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ENV PYTHONUNBUFFERED=1
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# Expose port
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EXPOSE 8080
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# Default command
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CMD ["/app/startup-dev.sh"]
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