When to Use PGVector
AI & Agentic Systems
Store and search vector embeddings directly in PostgreSQL for RAG and semantic search.
Custom Software Development
Add AI-powered search to existing PostgreSQL applications without a separate vector database.
Semantic Search
Build intelligent search systems that understand meaning, not just keywords, using vector similarity.
Recommendation Systems
Create content and product recommendations based on embedding similarity within PostgreSQL.
Enterprise AI Integration
Integrate vector search into enterprise systems already running PostgreSQL with minimal changes.
RAG Applications
Build retrieval-augmented generation systems using PostgreSQL as both relational and vector store.