| Package | postgresql-16-vchord-bm25 |
| Source | vchord-bm25 |
| Version | 0.3.0-2PIGSTY~trixie |
| Architecture | amd64 |
| Maintainer | Ruohang Feng |
| Installed-Size | 1438 |
| Depends | postgresql-16, libc6 (>= 2.34), libgcc-s1 (>= 4.2), postgresql-16-pgvector |
| Provides | postgresql-vchord-bm25 |
| Homepage | https://github.com/tensorchord/VectorChord |
| Priority | optional |
| Section | database |
| Filename | pool/main/v/vchord-bm25/postgresql-16-vchord-bm25_0.3.0-2PIGSTY~trixie_amd64.deb |
| Size | 435308 |
| SHA256 | ae5d53b961814412e4717f3ac8e723712afdc7017bdb0a2f3cbe0836eafa1f5c |
| SHA1 | 5d9f488d387f5311bbf6e153516e65f1818d6578 |
| MD5sum | 0def71c44d61e55c0170b47bf323b990 |
| 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 | |