transcription/Dockerfile.rag
keboss-m fee9b9acb1 Add RAG, summary pipeline, and split transcribe/postprocess queue.
Separate ASR (2 workers) from summary/RAG post-processing, add LightRAG chat API, batch upload fixes, and local model mounts for Docker deployment.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-01 17:40:58 +03:00

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# Быстрое обновление: добавляет RAG-зависимости к уже собранному образу с Whisper/PyTorch.
FROM transcription-transcription:latest
COPY pip.conf /etc/pip.conf
RUN pip install --no-cache-dir --timeout 300 \
lightrag-hku>=1.4.0 \
openai>=1.0.0 \
python-dotenv>=1.0.0 \
sentence-transformers>=3.0.0