product
Data quality: Editorially ReviewedFree
Retrieval & data layer
Vector Databases
Software & technology
Workflow orchestration
Self-hosted / on-premises
Retrieval & semantic search
pgvector
Vector Databases
Overview
pgvector is an open-source PostgreSQL extension that adds vector columns, similarity search, and HNSW indexing to Postgres. It enables teams to store embeddings alongside relational data and query both with SQL, supporting L2, inner-product, and cosine-distance metrics with exact and approximate nearest-neighbor search.
- Pricing model
- Free
- Deployment
- Self-hosted / on-premises
- Regions served
- Global
- Categories
- Free, Retrieval & data layer, Vector Databases, Software & technology, Workflow orchestration, Self-hosted / on-premises, Retrieval & semantic search
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Workflow orchestration
Deployment options
Self-hosted / on-premises
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- github.com
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
Spotted something out of date?
Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.