Hybrid search

Hybrid search combines dense vector similarity search with traditional sparse keyword (BM25) retrieval to leverage the strengths of both approaches. Dense retrieval excels at semantic matching while sparse retrieval captures exact keyword matches and rare terms.

Combining the two using reciprocal rank fusion or learned merging typically outperforms either method alone in RAG pipelines.