Modern applications rely on PostgreSQL for its fully ACID‑compliant, expressive SQL, and rich ecosystem of extensions. The database handles relational workloads exceptionally well, but many projects also need to search for large text collections—prod...| VectorChord
VectorChord 0.3 boosts PostgreSQL vector search using MaxSim and WARP| VectorChord blog
We're excited to announce the release of VectorChord-BM25 version 0.2, our PostgreSQL extension designed to bring advanced BM25-based full-text search ranking capabilities directly into your database! VectorChord-BM25 allows you to leverage the power...| VectorChord blog
Hybrid search combining BM25 and pgvector compatible extension VectorChord, seamlessly integrated within PostgreSQL.| VectorChord blog
VectorChord-BM25 enhances PostgreSQL search with BM25 ranking, 3x faster than ElasticSearch. Supports BERT, Tocken, and Unicode tokenizers| VectorChord blog
Enhance vector search efficiency with external centroids building in VectorChord using external resources and hierarchical K-means| VectorChord
Introducing VectorChord: The successor to pgvecto.rs. Using VectorChord, you can achieve a QPS of 131 with 0.95 precision on 100 million 768D dataset| VectorChord
Learn to enhance vector search accuracy with ColBERT rerank using PostgreSQL and VectorChord in this comprehensive tutorial| VectorChord blog
