TLSH fuzzy-hash data type, distance operations, and GiST indexing for similarity search.
pgext.cloud · Source code · Documentation · Control file
| Package | tlsh_gist |
|---|---|
| Version | 1.0 |
| Repository | Unspecified |
| Extension type | Standard |
| Project status | Active |
| Requires CREATE EXTENSION | Yes |
| Requires preload | No |
| Trusted | No |
| Relocatable | Yes |
| Stars | 4 |
| Latest commit | 2022-04-18 |
| Catalogue updated | 2026-08-30 |
| vector | vector data type and ivfflat and hnsw access methods |
| smlar | Effective similarity search |
| pg_similarity | support similarity queries |
| vectorize | The simplest way to do vector search on Postgres |
| pgcontext | Vector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables. |
| hamming_distance | Hamming distance and similarity functions for hexadecimal feature-vector strings. |
| pg_trgm | text similarity measurement and index searching based on trigrams |
| pg_emd | Fast approximate Earth Mover's Distance using dynamic tree embeddings |
| embedding | HNSW vector similarity search extension for PostgreSQL real[] embeddings. |
| sparse_vector | C data type and functions for sparse float vectors, normalization, dot product, and cosine similarity. |