Supabase Vector

Postgres vector database for AI applications using pgvector extension

AI Infrastructure & MLOpsFreemium

Supabase Vector provides vector database capabilities within Supabase's open-source Firebase alternative by leveraging the pgvector PostgreSQL extension. This enables developers to store, index, and query vector embeddings alongside relational data in a single Postgres database, eliminating the need for a separate vector store. Supabase provides managed hosting, auto-scaling, and a simple JavaScript and Python client library. Developers building RAG applications, semantic search features, and recommendation systems who already use Supabase or prefer PostgreSQL use Supabase Vector for its simplicity of combining vector and relational data without additional infrastructure.

Key Features

• ✓pgvector integration
• ✓Postgres-native
• ✓Auto-scaling
• ✓Simple API
• ✓Relational+vector