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Vector DBFreemiumOpen Source
SUPABASE
Open-source Postgres development platform with built-in vector search
Apache-2.0
ABOUT
Building AI applications that need vector search typically means provisioning a separate vector database alongside Postgres, adding operational complexity, duplicate storage, and sync overhead. Supabase gives every project its own dedicated Postgres database with pgvector built-in, so developers get vector embeddings, semantic search, and relational data side-by-side without managing extra infrastructure. Combined with auto-generated APIs, built-in auth, and realtime subscriptions, it eliminates the backend scaffolding work for AI-powered applications.
INSTALL
npm install @supabase/supabase-jsINTEGRATION GUIDE
1. Build AI applications that store and query vector embeddings alongside relational data in the same Postgres database
2. Create real-time AI features like semantic search, recommendation feeds, and chat history with built-in auth and subscriptions
3. Rapidly prototype and ship full-stack apps with auto-generated REST and GraphQL APIs for your AI backend
TAGS
postgresdatabasebackend-as-a-serviceauthenticationrealtimevector-databaseembeddingssemantic-searchfirebase-alternative