| Package | postgresql-14-vchord-bm25 |
| Source | vchord-bm25 |
| Version | 0.3.0-2PIGSTY~trixie |
| Architecture | amd64 |
| Maintainer | Ruohang Feng |
| Installed-Size | 1448 |
| Depends | postgresql-14, libc6 (>= 2.34), libgcc-s1 (>= 4.2), postgresql-14-pgvector |
| Provides | postgresql-vchord-bm25 |
| Homepage | https://github.com/tensorchord/VectorChord |
| Priority | optional |
| Section | database |
| Filename | pool/main/v/vchord-bm25/postgresql-14-vchord-bm25_0.3.0-2PIGSTY~trixie_amd64.deb |
| Size | 437112 |
| SHA256 | 6d0069130988a25f20eadd4c8b853dccdcd6c0d055390846b5883993e4a8bcc9 |
| SHA1 | 8536631f4db6175db56f411baa7aa511d8993de3 |
| MD5sum | 52f14c4f5a1da8e4bbfbd40b0c7ab434 |
| 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 | |