Top Considerations When Choosing a Hybrid Search Solution

Hybrid search blends keyword precision with vector search context. Reciprocal rank fusion and relative score fusion are the main techniques for combining results. Full-text search remains essential for identifying tokens outside an embedding model's training corpus, especially for retrieval-augmented generation use cases.