Generate and store OpenAI embeddings in-place
pgext.cloud · Source code · Documentation · Control file
| Package | pg_embed |
|---|---|
| Version | 1.0 |
| Repository | Unspecified |
| Extension type | Standard |
| Project status | Active |
| Requires CREATE EXTENSION | Yes |
| Requires preload | No |
| Trusted | No |
| Relocatable | Yes |
| Stars | 0 |
| Latest commit | 2025-05-25 |
| Catalogue updated | 2026-08-30 |
| vector | vector data type and ivfflat and hnsw access methods |
| pgcontext | Vector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables. |
| vectorize | The simplest way to do vector search on Postgres |
| pgmnemo | Single-plan multimodal agent memory for PostgreSQL |
| pg_bestmatch | Generate BM25 sparse vector inside PostgreSQL |
| smlar | Effective similarity search |
| vectorscale | Advanced indexing for vector data with DiskANN |
| vchord | Vector database plugin for Postgres, written in Rust |
| pg_similarity | support similarity queries |
| pg_gembed | Generate embeddings inside PostgreSQL |