Powering next gen
AI apps with Postgres

Build and scale transformative LLM applications with vector indexes and similarity search in Postgres

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Fast and Accurate

Scale your AI apps to millions of users with Neon

Fully open-source
Scales to10M+rows

Speed up your queries with HNSW

Query execution time (ms) at 99% recall


HNSW indexes bring 20x the speed for 99% accuracy to graph-based approximate nearest neighbor search in your Postgres database.

20xFaster than IVFFlat
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Simple to use,
scales automatically

Store vector embeddings and perform similarity search


Vector search with Neon

Use the power of HNSW indexes to unlock new levels of efficiency in high-dimensional vector similarity search in Postgres

  • Reliable & actively maintained

    The pgvector and pg_embedding extensions are open-source and actively maintained

  • Amazing scalability

    Grow your vector stores without impacting search performance

  • Blazingly fast search

    Use HNSW indexes for fast and scalable vector similarity search in Postgres

  • Highly compatible

    Use Neon with pgvector or pg_embedding in your Postgres and LangChain projects

Stan Girard Founder, Quivr

Build your next AI app now with Neon

Neon offers flexible usage and volume-based plans. Contact our Sales team to learn more.