The database AI-native apps were waiting for
Neon is a serverless Postgres platform built for modern AI workflows. It separates storage and compute, autoscales to zero, and lets agents create databases without friction.
Backend for AI agents.
Agents can provision, query, and manage Postgres databases via API. With quotas and autosuspend out of the box.
Vector store for RAG and LLMs.
With pgvector and HNSW, Neon becomes a vector store for all your data.
Ready for AI-assisted coding.
Neon integrates with Cursor and Copilot for seamless in-IDE database workflows.
Instantly accessible.
Neon can be embedded directly into agent workflows, no signup required. For developers, it’s just as easy - start building on the Free Plan in seconds.
The combination of flexible resource limits and nearly instant database provisioning made Neon a no‑brainer.
Add Postgres to your agent
Neon is purpose-built to support AI agents at the infrastructure level, with native, API-first Postgres that doesn’t require end-user signups or manual provisioning.
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One-second database provisioning
Agents move fast, and so does Neon. Provision fresh databases in seconds for a smooth developer experience.
Scale to zero and pay-as-you-go
Neon only charges for true usage, so you can run fleets of short-lived databases without blowing your budget.
Simple, programmable API
Create, delete, scale, and monitor databases with a feature-complete API designed to manage thousands of Postgres instances.
Embed directly, no signup required
Agents can create and manage databases without a user ever logging into Neon. No UI, no OAuth, no friction.
Time travel for your apps
Branches let you snapshot the full database state instantly. Let users roll back to a previous version in one click.
Built-in auth
With Neon Auth, agents can build apps with secure authentication baked in - no extra setup, just more power to vibe coders.
Powered by Neon.
Neon’s speed of provisioning and serverless scale-to-zero is critical for us. We can serve users iterating on quick ideas efficiently while also supporting them as they scale, without making them think about database setup.
Dhruv AminCo-founder at Create.xyzCode with AI
Your AI tools can now do more than write queries: they can manage your database too.
Integrate with Cursor and other AI-first IDEs
Spin up a Neon database, create branches, inspect query plans, and reset data all from inside the editor.
Add Neon to your editor
MCP Server
Purpose-built for AI devtools, Neon MCP lets agents manage data workflows from provisioning to tuning.
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Build LLM-backed applications
Neon makes Postgres a powerful vector store, perfect for RAG apps that crave simplicity.
Start buildingPostgres for everything
Combine vector search, full-text search, relational data, and SQL analytics in a single system. No glue code between databases.
pgvector built in
Store and search vector embeddings using pgvector, with native support for HNSW indexing and multiple distance metrics.
Faster, cheaper indexing
Neon’s autoscaling serverless architecture handles indexing at scale, with 75% lower compute costs.
SQL-native, dev-friendly
Neon supports standard SQL, integrates easily into your stack, and reduces time-to-value for production RAG systems.
I did testing on vector databases, but I didn’t see a real advantage. Postgres with Pgvector covers everything I need.
Marco D’AliaSoftware Architect behind RagRabbitNeon's AI Starter Kit
Neon's AI Starter Kit offers resources, apps, and examples to kickstart Neon as your vector database.
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Postgres with pgvector
Store and retrieve vector embeddings efficiently with Neon Postgres and pgvector.
AI Starter Apps
Access pre-built AI apps like AI chatbot, semantic search, and hybrid search.
Vector Search Optimization
Enhance the performance of your AI by using Neon’s vector search optimization guide.
Autoscaling & Scaling Guide
Scale your AI apps seamlessly with Neon’s Autoscaling and Read Replicas.
Built with Neon
Explore AI apps using Neon to gain valuable inspiration and learn best practices.
Performance & Storage
Optimize and manage your AI workloads with Neon’s storage and autoscaling solutions.