PostgreSQL ultra-high dimensional approximate nearest neighbor search extension.
pgext.cloud · Source code · Documentation · Control file
| Package | pase |
|---|---|
| Version | 0.0.1 |
| Repository | Unspecified |
| Extension type | Standard |
| Requires CREATE EXTENSION | Yes |
| Requires preload | No |
| Trusted | No |
| Relocatable | Yes |
| Stars | 50 |
| Latest commit | 2022-08-26 |
| Catalogue updated | 2026-08-30 |
| plpgsql | PL/pgSQL procedural language |
| vector | vector data type and ivfflat and hnsw access methods |
| pgcontext | Vector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables. |
| ruvector | SIMD-accelerated vector type and indexes with graph, solver, TDA, local embedding, and AI SQL functions. |
| vectorize | The simplest way to do vector search on Postgres |
| smlar | Effective similarity search |
| alloydb_scann | AlloyDB ScaNN extension for approximate nearest-neighbor vector indexes. |
| pg_turboquant | Compact TurboQuant approximate-nearest-neighbor index access method for pgvector vector and halfvec data. |
| pg_similarity | support similarity queries |
| pg_emd | Fast approximate Earth Mover's Distance using dynamic tree embeddings |
| hamming_distance | Hamming distance and similarity functions for hexadecimal feature-vector strings. |
| sparse_vector | C data type and functions for sparse float vectors, normalization, dot product, and cosine similarity. |
| embedding | HNSW vector similarity search extension for PostgreSQL real[] embeddings. |