Hybrid Search With Dense and Sparse Vectors in RAG
Combining dense vectors with BM25 retrieval fixes the two ways RAG systems fail most often.
Priya Subramaniam
Cross-encoders beat single-vector retrieval by rescoring candidates jointly instead of in isolation.
Combining dense vectors with BM25 retrieval fixes the two ways RAG systems fail most often.
Filtering retrieved documents by metadata slashes hallucination rates by half or more.
Decide staleness tolerance per topic, not per pipeline.