Vector Databasespgvector
Open-source vector similarity search for PostgreSQL
- Status
- Generally available
- Last checked
- Checked · Oct 16, 2026
- License
- Open source
- Pricing
- Free tier
What it is
pgvector is an open-source PostgreSQL extension that adds vector similarity search capabilities directly to Postgres. It enables storing and querying embeddings alongside relational data, making it the simplest way to add semantic search and RAG capabilities to existing Postgres-powered applications.
When it fits — and when it doesn’t
A good fit for
Teams already using PostgreSQL who want to add vector search without adopting a separate vector database
Look elsewhere if
Applications requiring billion-scale vector search with low latency — use a dedicated vector DB instead
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
No verified weaknesses on file yet. That’s a gap in our data, not a clean bill of health.
What it does well
L2 and cosine similarity
HNSW and IVFFlat indexing
Postgres-native
Supabase/Neon support
Python & JS clients
Pricing
- Free tier
- Yes
- Paid from
- —
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up pgvector
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for pgvector’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
[](https://navigateaitools.com/explorer/tool/pgvector)HTML
<a href="https://navigateaitools.com/explorer/tool/pgvector"><img src="https://navigateaitools.com/badge/pgvector.svg" alt="pgvector — tracked on AI Navigator" height="58"></a>