Hybrid search with Postgres Native BM25 and VectorChord
Hybrid search combining BM25 and pgvector compatible extension VectorChord, seamlessly integrated within PostgreSQL.| VectorChord
Hybrid search combining BM25 and pgvector compatible extension VectorChord, seamlessly integrated within PostgreSQL.| VectorChord
Connecting the ColPali model with Vespa for complex document format retrieval.| Vespa Blog
The purpose of using vectors is to improve quality, but that takes much more than a similarity lookup. Search engines are built for that, databases are not.| Vespa Blog
Announcing multi-vector indexing support in Vespa, which allows you to index multiple vectors per document and retrieve documents by the closest vector in each document.| Vespa Blog
