| Package | postgresql-13-vchord-bm25 |
| Source | vchord-bm25 |
| Version | 0.3.0-1PIGSTY~trixie |
| Architecture | amd64 |
| Maintainer | Ruohang Feng |
| Installed-Size | 1468 |
| Depends | postgresql-13, libc6 (>= 2.34), libgcc-s1 (>= 4.2), postgresql-13-pgvector |
| Provides | postgresql-vchord-bm25 |
| Homepage | https://github.com/tensorchord/VectorChord |
| Priority | optional |
| Section | database |
| Filename | pool/main/v/vchord-bm25/postgresql-13-vchord-bm25_0.3.0-1PIGSTY~trixie_amd64.deb |
| Size | 440776 |
| SHA256 | ab6cef9ecbb8868d41ebd73cab9459fed1c792b9bbd068b3799a46a438a83aa7 |
| SHA1 | 2260fbd82dca67708d62aab3af27c2f2e5223c4a |
| MD5sum | faeba73362a62e62b73df7c2c91dc046 |
| 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 | |