Fast approximate Earth Mover's Distance using dynamic tree embeddings
pgext.cloud · Source code · Documentation · Control file
| Package | pg_emd |
|---|---|
| Version | 0.1.0 |
| PostgreSQL versions | 17 |
| Repository | Unspecified |
| Extension type | Standard |
| Project status | Active |
| Requires CREATE EXTENSION | Yes |
| Requires preload | No |
| Trusted | Yes |
| Relocatable | Yes |
| Stars | 0 |
| Latest commit | 2025-10-30 |
| Catalogue updated | 2026-08-30 |
| vector | vector data type and ivfflat and hnsw access methods |
| smlar | Effective similarity search |
| pase | PostgreSQL ultra-high dimensional approximate nearest neighbor search extension. |
| hamming_distance | Hamming distance and similarity functions for hexadecimal feature-vector strings. |
| pg_similarity | support similarity queries |
| ruvector | SIMD-accelerated vector type and indexes with graph, solver, TDA, local embedding, and AI SQL functions. |
| pgcontext | Vector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables. |
| vectorize | The simplest way to do vector search on Postgres |
| tlsh_gist | TLSH fuzzy-hash data type, distance operations, and GiST indexing for similarity search. |
| pg_cuvs | ⚡ Blazing-fast GPU vector search for PostgreSQL powered by NVIDIA cuVS. |