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P
Vector DBFreeOpen Source
PGVECTOR
Vector similarity search inside Postgres
PostgreSQL License
ABOUT
Many teams want semantic search and retrieval without introducing a separate vector database, extra infrastructure, and a second operational surface area. pgvector adds native vector storage, indexing, and nearest-neighbor search to PostgreSQL, letting developers combine embeddings with joins, filters, transactions, and backups in the same database they already run.
INSTALL
git clone https://github.com/pgvector/pgvector.git
cd pgvector
make
sudo make install
INTEGRATION GUIDE
1. Add semantic search to an existing PostgreSQL application without deploying a separate vector store
2. Build RAG pipelines that retrieve relevant chunks from Postgres using exact or approximate nearest-neighbor search
3. Power recommendation systems by comparing user or item embeddings alongside relational business data
4. Run hybrid application queries that combine metadata filters, SQL joins, and vector similarity in one step
TAGS
postgresvector-databaseembeddingssemantic-searchannsql