transcription/requirements.txt
keboss-m eee8f4c8a4 Replace LightRAG with native Python RAG engine + add deploy tooling
- New: src/rag/engine/ — in-process hybrid search (FTS5 BM25 + sqlite-vec + LLM rerank)
- New: src/rag/qmd/ — compatibility layer (qmd_query, qmd_chat, qmd_chat_stream, qmd_index_*)
- New: src/ingest/stub_writer.py — .md stubs for binary files (videos, archives)
- New: scripts/deploy.sh + scripts/pull_models.sh + Makefile + .env.example
- Removed: LightRAG, sentence-transformers embedding via separate package, rag_standalone/
- Removed: @nousresearch/qmd npm dep (package not published); Node.js from Dockerfile
- Updated: tests/ (46 passed), docker-compose, .dockerignore, config.yaml, README

Engine: in-process Python (no daemon, no npm), sentence-transformers 384-dim,
RRF fusion (k=60), BM25 + vector with numpy fallback. WebSocket API unchanged.

Deploy: 'git clone' + 'make init' + 'make pull-models MODELS_SOURCE=...' + 'make up'.
Models (5.83 GB) live outside git; pulled via rsync from dev host.
2026-06-10 14:24:01 +03:00

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fastapi
uvicorn[standard]
python-multipart
websockets
python-docx
pyyaml
whisperx
# Auth
bcrypt>=4.0.0
python-jose[cryptography]
# RAG (native Python engine: BM25/FTS5 + sqlite-vec + LLM rerank)
openai>=1.0.0
python-dotenv>=1.0.0
httpx>=0.27.0
sentence-transformers>=3.0.0
numpy>=1.24.0
rank_bm25>=0.2.2
sqlite-vec>=0.1.0
# Document ingestion
pymupdf>=1.24.0
openpyxl>=3.1.0
Pillow>=10.0.0
pytesseract>=0.3.10