Package - postgresql-13-pg-bestmatch
Primary informations
Download package: https://repo.pigsty.io/apt/pgsql/trixie/pool/main/p/pg-bestmatch/postgresql-13-pg-bestmatch_0.0.2-2PIGSTY~trixie_amd64.deb (Size: 6.1MiB)| Property | Value |
|---|---|
| Package | postgresql-13-pg-bestmatch |
| Source | pg-bestmatch |
| Version | 0.0.2-2PIGSTY~trixie |
| Architecture | amd64 |
| Maintainer | Ruohang Feng |
| Installed-Size | 18320 |
| Depends | postgresql-13, libc6 (>= 2.34), libgcc-s1 (>= 4.2) |
| Provides | postgresql-pg-bestmatch |
| Homepage | https://github.com/tensorchord/pg_bestmatch.rs |
| Priority | optional |
| Section | database |
| Filename | pool/main/p/pg-bestmatch/postgresql-13-pg-bestmatch_0.0.2-2PIGSTY~trixie_amd64.deb |
| Size | 6415812 |
| SHA256 | 14d61d64a08d06c3554dca6ecb0096cf38588e4e2212bb582381cfe1e767b629 |
| SHA1 | bf07b41356a0f2a2aae093dc13a2760615044ce0 |
| MD5sum | 62aebbd829dd56fd842667d4163cd76b |
| Description | Generate BM25 sparse vector inside PostgreSQL This PostgreSQL extension provides functionalities for BM25 text queries, generateing BM25 statistic sparse vectors for text. BM25 outperforms dense vector-based retrieval methods in many RAG benchmark tasks. User can use vector search extensions such as pgvecto.rs or pgvector for efficient searches in postgres. |
| Description-md5 |