Runs a Hugging Face sentence-transformer model inside a preload background worker and maintains pgvector embeddings for a configured table.
pgext.cloud · Source code · Documentation · Control file
| Package | pg_sentence_transformer |
|---|---|
| Version | 0.1 |
| Repository | Unspecified |
| Extension type | Preloaded |
| Requires CREATE EXTENSION | Yes |
| Requires preload | Yes |
| Trusted | No |
| Relocatable | Yes |
| Shared libraries | pg_sentence_transformer |
| Schema | sentence_transformer |
| Stars | 17 |
| Latest commit | 2025-03-24 |
| Catalogue updated | 2026-08-30 |
| plpgsql | PL/pgSQL procedural language |
| plpython3u | PL/Python3U untrusted procedural language |
| vector | vector data type and ivfflat and hnsw access methods |
| vector | vector data type and ivfflat and hnsw access methods |
| pgcontext | Vector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables. |
| vectorize | The simplest way to do vector search on Postgres |
| pgmnemo | Single-plan multimodal agent memory for PostgreSQL |
| pgedge_vectorizer | Asynchronous text chunking and embedding generation for PostgreSQL using background workers and pgvector. |
| pg_gembed | Generate embeddings inside PostgreSQL |
| google_ml_integration | Google Cloud machine learning integration extension for registering model endpoints, generating embeddings, and invoking predictions from SQL. |
| lantern_extras | Convenience functions for working with vector embeddings |
| smlar | Effective similarity search |
| rds_ai | Alibaba Cloud RDS extension for calling LLMs, generating embeddings, semantic retrieval, and end-to-end RAG from SQL |