AI database extension for vector search, ML inference, hybrid search, and RAG in PostgreSQL.
pgext.cloud · Source code · Website · Documentation · License text · Control file
| Package | neurondb |
|---|---|
| Version | 4.0.0-devel |
| PostgreSQL versions | 16 · 17 · 18 |
| Repository | Unspecified |
| Extension type | Preloaded |
| Project status | Active |
| Vendor | NeuronDB |
| Requires CREATE EXTENSION | Yes |
| Requires preload | Yes |
| Trusted | No |
| Relocatable | Yes |
| Shared libraries | neurondb |
| Schema | neurondb |
| Stars | 50 |
| Latest commit | 2026-04-28 |
| Latest release | 2026-04-28 |
| Catalogue updated | 2026-08-30 |
| vectorize | The simplest way to do vector search on Postgres |
| pgcontext | Vector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables. |
| vector | vector data type and ivfflat and hnsw access methods |
| pgmnemo | Single-plan multimodal agent memory for PostgreSQL |
| avocado | AvocadoDB PostgreSQL extension for deterministic context compilation for AI agents. |
| pg_knowledge_graph | Knowledge graph extension for PostgreSQL with graph algorithms and pgvector integration. |
| pgturbohybrid | hybrid vector and BM25 search for PostgreSQL on top of pgvector |
| pg_cuvs | ⚡ Blazing-fast GPU vector search for PostgreSQL powered by NVIDIA cuVS. |
| rds_ai | Alibaba Cloud RDS extension for calling LLMs, generating embeddings, semantic retrieval, and end-to-end RAG from SQL |
| pg_deeplake | Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training. |