pgvector
Open-source vector similarity search for PostgreSQL
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is pgvector?
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.
Key differentiator
“Open-source vector similarity search for PostgreSQL”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Teams already using PostgreSQL who want to add vector search without adopting a separate vector database
✕ Not a fit for
Applications requiring billion-scale vector search with low latency — use a dedicated vector DB instead
Cost structure
Pricing
Free Tier
Available
Starts at
Free / Open Source
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with pgvector
Step-by-step setup guide with code examples and common gotchas.