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pgvector

Open-source vector similarity search for PostgreSQL

★ 21,963 GitHub PostgreSQL vector-databasepostgresqlpgvectorembeddingssimilarity-searchrag RAG & Wissen

Überblick

pgvector is an open-source vector similarity search extension for PostgreSQL. It enables you to store and query high-dimensional vectors alongside your relational data, supporting exact and approximate nearest neighbor search (ANN) with IVFFlat and HNSW indexes. Features include distance functions (L2, cosine, inner product, Hamming, Jaccard) plus halfvec, bit, and sparsevec types. With over 22,000 GitHub stars, it is the most popular PostgreSQL vector extension — a drop-in addition to any Postgres database.

Anforderungen

Min vCPU
1
Min RAM
256 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
1024 MB
Rec Disk
20 GB

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Affiliate-Hinweis

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  pgvector:
    image: pgvector/pgvector:pg16
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/pgvector:/data

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Anleitungen & Artikel

pgvector vs Dedicated Vector Databases: When to Use What

Compare pgvector with Milvus, Weaviate, and Qdrant. Learn when to use PostgreSQL-based vector search vs a dedicated vector database for your AI stack.

Jun 28, 2026

Getting Started with pgvector: Vector Search in PostgreSQL

Add high-performance vector similarity search to PostgreSQL with pgvector — the most popular open-source vector extension for AI applications.

Jun 28, 2026