| Package | postgresql-18-vchord-bm25 |
| Source | vchord-bm25 |
| Version | 0.3.0-2PIGSTY~trixie |
| Architecture | amd64 |
| Maintainer | Ruohang Feng |
| Installed-Size | 1438 |
| Depends | postgresql-18, libc6 (>= 2.34), libgcc-s1 (>= 4.2), postgresql-18-pgvector |
| Provides | postgresql-vchord-bm25 |
| Homepage | https://github.com/tensorchord/VectorChord |
| Priority | optional |
| Section | database |
| Filename | pool/main/v/vchord-bm25/postgresql-18-vchord-bm25_0.3.0-2PIGSTY~trixie_amd64.deb |
| Size | 435580 |
| SHA256 | d6cd4b5d29667c8b9a94b1d669e5d5f36a792e308fd45bf31fe19236edbfa2d6 |
| SHA1 | aa6df0c9a74dcfe29e081e6a8a1d6bc34f78eaf2 |
| MD5sum | c4c1570366f158e8c0410ce63697bbe8 |
| Description | Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
VectorChord (vchord-bm25) is a PostgreSQL extension designed for scalable, high-performance, and disk-efficient vector similarity search, and serves as the successor to pgvecto.rs.
With VectorChord, you can store 400,000 vectors for just $1, enabling significant savings: 6x more vectors compared to Pinecone's optimized storage and 26x more than pgvector/pgvecto.rs for the same price1. For further insights, check out our launch blog post. |
| Description-md5 | |