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N
Vector DBFreemiumOpen Source
NEON
Serverless Postgres with autoscaling and database branching
Apache-2.0
ABOUT
AI teams that want to use Postgres with pgvector for semantic search often struggle with provisioning and scaling database infrastructure — traditional Postgres has fixed compute that must be paid for even when idle, and the storage and compute are tightly coupled, making vertical scaling slow and costly. Neon decouples compute from storage, enabling instant branching for development and review workflows, autoscaling based on load, and scale-to-zero when idle — reducing the operational cost of running Postgres as a vector store for AI applications.
INSTALL
npm install @neondatabase/serverlessINTEGRATION GUIDE
1. Run serverless Postgres with pgvector for AI semantic search and embedding storage without paying for idle compute
2. Create instant database branches for testing RAG pipeline changes and schema migrations before deploying
3. Autoscale Postgres compute for vector similarity search workloads that have unpredictable query volume
TAGS
postgresserverlessdatabasevector-databaseembeddingssemantic-searchpgvectorbranching