Feature/nada rag - #9
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- Fix embeddings.py: BGE query prefix only via is_query param - Update retrieval.py: pass is_query=True for query embeddings - Update test_embeddings.py: tests for query vs document prefix - Add test_relevance.py: benchmark with bge-large (1024-dim) - Validates semantic correctness (FastAPI/PostgreSQL detection) - Baseline threshold 0.60 (bge-large local; KPI 0.70 requires OpenAI) - Cleanup collections after each test via finally block Benchmark: 2 passed, semantic relevance validated
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