Hamming distance and similarity functions for hexadecimal feature-vector strings.
pgext.cloud · Source code · Documentation · License text · Control file
| Package | hamming_distance |
|---|---|
| Version | 0.0.1 |
| Repository | Unspecified |
| Extension type | Standard |
| Requires CREATE EXTENSION | Yes |
| Requires preload | No |
| Trusted | No |
| Relocatable | Yes |
| Stars | 7 |
| Latest commit | 2017-07-04 |
| Catalogue updated | 2026-08-30 |
| vector | vector data type and ivfflat and hnsw access methods |
| smlar | Effective similarity search |
| pg_similarity | support similarity queries |
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| pg_emd | Fast approximate Earth Mover's Distance using dynamic tree embeddings |
| 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 |
| pase | PostgreSQL ultra-high dimensional approximate nearest neighbor search extension. |
| pgmnemo | Single-plan multimodal agent memory for PostgreSQL |
| tlsh_gist | TLSH fuzzy-hash data type, distance operations, and GiST indexing for similarity search. |