Hybrid Index

A hybrid index maintains both a dense vector index for semantic similarity search and a sparse inverted index for exact keyword matching within the same data store. Queries fan out to both indexes simultaneously, and results are merged — typically via reciprocal rank fusion or a learned fusion layer — before being returned to the caller. Hybrid indexes eliminate the need to maintain two separate systems and are the retrieval architecture of choice for production search applications that serve diverse query types.