pgvector PostgreSQL vector extension reference. Covers vector column types, cosine/L2/inner product search, SQL JOINs with vectors, IVFFlat and HNSW indexes, Python psycopg2/SQLAlchemy usage, and Supabase RPC function pattern for RAG.
Scanned 9/7/2026
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---
name: pgvector
version: 1.0.0
description: >
pgvector PostgreSQL vector extension reference. Covers vector
column types, cosine/L2/inner product search, SQL JOINs with
vectors, IVFFlat and HNSW indexes, Python psycopg2/SQLAlchemy
usage, and Supabase RPC function pattern for RAG.
author: BytesAgain
homepage: https://bytesagain.com
source: https://github.com/bytesagain/ai-skills
tags: [pgvector, postgresql, vector-search, embeddings, sql, rag]
---
# pgvector Reference
Vector search in PostgreSQL.
## Commands
| Command | Description |
|---------|-------------|
| `intro` | Overview, vs vector DBs |
| `usage` | SQL search, JOINs |
| `advanced` | Indexes, Python, Supabase |
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