Neon examples

Example applications and starter projects for Neon. Each subdirectory is a self-contained example you can clone, configure with a DATABASE_URL, and run.

A good place to start:

• neon-getting-started/ - a Next.js + Drizzle + Neon scaffold built for use with coding agents.
• ai/ - RAG, semantic search, hybrid search, and chatbot starters using pgvector on Neon.
• bots/ - Discord, Telegram, and WhatsApp bots hosted on Neon Functions, with commands, interactive UI, user profiles, and usage tracking in Lakebase Postgres.
• with-hybrid-search-api/ - document CRUD and hybrid retrieval combining vector search with BM25-ranked full-text search on Neon Functions.
• registry/ - the templates neon functions new scaffolds from. See its CONTRIBUTING.md to add one.

What is Neon?

Neon is a complete set of cloud backend primitives built around Lakebase Postgres, for developers, startups, and agent platforms, from Databricks. Lakebase Postgres runs on the lakebase architecture — OLTP built directly on cloud object storage — so it separates storage from compute, scales to zero when idle, autoscales under load, and supports instant database branching for development, preview environments, and CI. The Neon serverless driver lets you query Postgres from edge runtimes over HTTP and WebSockets.

Documentation

See the Neon documentation for additional examples.

Community

Join us on Discord to ask questions, share projects, and follow updates.

Contributing

See CONTRIBUTING.md.