Rust PostgreSQL extension for high-performance vector storage with broad quantization and index support.
pgext.cloud · Source code · Documentation · Control file
| Package | ecaz |
|---|---|
| Version | 0.1.1 |
| Repository | Unspecified |
| Extension type | Standard |
| Project status | Active |
| Requires CREATE EXTENSION | Yes |
| Requires preload | No |
| Trusted | No |
| Relocatable | No |
| Stars | 3 |
| Latest commit | 2026-08-29 |
| Catalogue updated | 2026-08-30 |
| google_ml_integration | Google Cloud machine learning integration extension for registering model endpoints, generating embeddings, and invoking predictions from SQL. |
| pg_gembed | Generate embeddings inside PostgreSQL |
| vector | vector data type and ivfflat and hnsw access methods |
| ruvector | SIMD-accelerated vector type and indexes with graph, solver, TDA, local embedding, and AI SQL functions. |
| pg_deeplake | Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training. |
| pg_cuvs | ⚡ Blazing-fast GPU vector search for PostgreSQL powered by NVIDIA cuVS. |
| smlar | Effective similarity search |
| pgcontext | Vector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables. |
| vectorize | The simplest way to do vector search on Postgres |
| pg_similarity | support similarity queries |
| lantern_extras | Convenience functions for working with vector embeddings |
| avocado | AvocadoDB PostgreSQL extension for deterministic context compilation for AI agents. |