d5ed8c7764
- RERANK_LIMIT 10→60: rerank more candidates → better NDCG ordering - Dense query uses search_text if available (semantically richer than text) - Sparse query always appends keywords on top of base text - Multi-vector: use variants[:2] + hyde[:2] as extra dense queries (previously only hyde[:2]) - Index UVICORN_WORKERS 8→4: matches 4-core constraint, saves ~1GB RAM Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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| .. | ||
| __init__.py | ||
| aggregation.py | ||
| config.py | ||
| Dockerfile | ||
| main.py | ||
| Makefile | ||
| query_builder.py | ||
| requirements.txt | ||
| rerank.py | ||
| retrieval.py | ||
| schemas.py | ||