AI Starter Kit

This guide collects resources for building AI applications with Neon Postgres. You'll find core concepts, starter applications, framework integrations, and deployment guides. Use these resources to build applications like RAG chatbots, semantic search engines, or custom AI tools.

Start building AI apps with Neon

Sign up for Neon Postgres and jumpstart your AI application with our starter apps and resources.

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Getting started

Learn the fundamentals of building AI applications with Neon:

• AI concepts

  Learn the fundamentals of embeddings and vector search for AI applications

• pgvector extension

  Get started with pgvector for storing and querying vector embeddings

AI frameworks and integrations

Build AI applications faster with these popular frameworks, tools, and services:

• LangChain

  Create AI applications using LangChain with OpenAI and Neon

• LlamaIndex

  Build RAG applications using LlamaIndex with OpenAI and Neon

• Semantic Kernel

  Develop AI applications using Semantic Kernel with Azure OpenAI

• Inngest

  Build reliable AI workflows with Inngest and Neon

Starter applications

Hackable, fully-featured, pre-built starter apps to get you up and running:

• AI chatbot (OpenAI + LllamIndex)

  A Next.js AI chatbot starter app built with OpenAI and LlamaIndex

• AI chatbot (OpenAI + LangChain)

  A Next.js AI chatbot starter app built with OpenAI and LangChain

• RAG chatbot (OpenAI + LlamaIndex)

  A Next.js RAG chatbot starter app built with OpenAI and LlamaIndex

• RAG chatbot (OpenAI + LangChain)

  A Next.js RAG chatbot starter app built with OpenAI and LangChain

• Semantic search (OpenAI + LlamaIndex)

  A Next.js Semantic Search chatbot starter app built with OpenAI and LlamaIndex

• Semantic search (OpenAI + LangChain)

  A Next.js Semantic Search chatbot starter app built with OpenAI and LangChain

• Hybrid search (OpenAI)

  A Next.js Hybrid Search starter app built with OpenAI

• Reverse image search (OpenAI + LlamaIndex)

  A Next.js Reverse Image Search Engine starter app built with OpenAI and LlamaIndex

• Chat with PDF (OpenAI + LlamaIndex)

  A Next.js Chat with PDF chatbot starter app built with OpenAI and LlamaIndex

• Chat with PDF (OpenAI + LangChain)

  A Next.js Chat with PDF chatbot starter app built with OpenAI and LangChain

Scale your AI application

• Scale with Neon

  Learn how to scale your AI application with Autoscaling and Read Replicas

• Optimize vector search

  Best practices for optimizing vector search performance

Featured examples

Real-world AI applications built with Neon that you can reference as code examples or inspiration.

• AI vector database per tenant

  Deploy an AI vector database per-tenant architecture with Neon

• Guide: Build a RAG chatbot

  Build a RAG chatbot in an Astro application with LlamaIndex and Postgres

• Guide: Build a Reverse Image Search Engine

  Using LlamaIndex with Postgres to Build your own Reverse Image Search Engine

• Ask Neon Chatbot

  An Ask Neon AI-powered chatbot built with pgvector

• Vercel Postgres pgvector Starter

  Enable vector similarity search with Vercel Postgres powered by Neon

• YCombinator Semantic Search App

  YCombinator semantic search application

• Web-based AI SQL Playground

  An AI-enabled SQL playground application for natural language queries

• Jupyter Notebook for vector search with Neon

  Jupyter Notebook for vector search with Neon, pgvector, and OpenAI

• Image search with Neon and Vertex AI

  Community: An image search app built with Neon and Vertex AI

• Text-to-SQL conversion with Mistral + LangChain

  A Text-to-SQL conversion app built with Mistral AI, Neon, and LangChain

• Postgres GPT Expert

  Blog + repo: Create and publish a custom Postgres GPT Expert using OpenAI's GPT

Vector search tools and notebooks

Optimize your vector search implementation and experiment with different approaches:

• Vector search optimization

  Best practices for optimizing vector search performance

• Vector search notebooks

  Interactive notebooks for vector search with OpenAI

• Google Colab guide

  Use Neon with Google Colab for ML experiments

• Azure Data Studio Notebooks

  A cloud-based Jupyter notebook service integrated with Azure Data Studio