feat: add Dockerfile and requirements.txt for HuggingFace deployment

Dockerfile

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+FROM python:3.10-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first (Docker layer caching)
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy source code
+COPY src/ ./src/
+COPY config/ ./config/
+COPY run_api.py .
+COPY .env.example ./.env
+
+# Copy data (uploaded via HuggingFace web UI)
+COPY data/qdrant_db/ ./data/qdrant_db/
+COPY data/embeddings/bm25_index.pkl ./data/embeddings/bm25_index.pkl
+COPY data/embeddings/embeddings.npy ./data/embeddings/embeddings.npy
+COPY data/embeddings/chunk_ids.npy ./data/embeddings/chunk_ids.npy
+COPY data/embeddings/embedding_index.json ./data/embeddings/embedding_index.json
+COPY data/chunks/ ./data/chunks/
+
+# Create remaining data dirs
+RUN mkdir -p data/raw data/processed logs
+
+# HuggingFace Spaces uses port 7860
+ENV PORT=7860
+EXPOSE 7860
+
+# Start the API
+CMD ["uvicorn", "src.api.main:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]

requirements.txt

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+fastapi==0.115.0
+uvicorn[standard]==0.30.0
+qdrant-client==1.9.0
+sentence-transformers==3.0.0
+rank-bm25==0.2.2
+langchain-text-splitters==0.2.0
+groq==0.9.0
+pydantic==2.7.0
+python-dotenv==1.0.0
+loguru==0.7.2
+numpy==1.26.0
+tqdm==4.66.0
+requests==2.32.0