vk_hackathon/search/Dockerfile
q 6869189099 Revert to v1.0-working + RERANK_LIMIT 15→17
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-18 23:02:05 +03:00

24 lines
595 B
Docker

FROM python:3.13-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY main.py .
ENV HOST=0.0.0.0
ENV PORT=8000
ENV QDRANT_COLLECTION_NAME=evaluation
ENV QDRANT_DENSE_VECTOR_NAME=dense
ENV QDRANT_SPARSE_VECTOR_NAME=sparse
ENV EMBEDDINGS_DENSE_MODEL=Qwen/Qwen3-Embedding-0.6B
ENV FASTEMBED_CACHE_PATH=/models/fastembed
ENV HF_HOME=/models/huggingface
RUN mkdir -p /models/fastembed /models/huggingface
RUN python -c "from fastembed import SparseTextEmbedding; SparseTextEmbedding(model_name='Qdrant/bm25')"
EXPOSE 8000
CMD ["python", "main.py"]