AI & Embeddings

Vector databases enable efficient storage and retrieval of vector data, which is an essential component in building AI applications that leverage Large Language Models (LLMs).

Neon supports the pgvector open-source extension, which enables Postgres as a vector database for storing and querying embeddings. This means you can leverage the open-source database that you trust as your vector store and forget about migrating data or adding a third-party vector storage solution.

Neon's AI Starter Kit provides resources, starter apps, and examples to help get you started.

Ship faster with Neon's AI Starter Kit

Sign up for Neon Postgres and jumpstart your AI application. Our starter apps and resources will help you get up and running.

Sign Up

The Neon AI Starter Kit includes:

• Neon Postgres with the latest version of the Postgres pgvector extension for storing vector embeddings
• A variety of hackable, pre-built AI starter apps:
  • AI Chatbot
  • RAG chatbot
  • Semantic search
  • Hybrid search
  • Reverse image search
  • Chat with PDF
• A vector search optimization guide for better AI application performance
• A scaling guide for scaling your app with Neon's Autoscaling and Read Replica features
• A collection of AI apps built with Neon that you can reference while building your own app

AI basics

• AI concepts

  Learn how embeddings are used to build AI applications

• The pgvector extension

  Learn about the pgvector Postgres extension

AI starter apps

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

• AI chatbot (OpenAI + LllamIndex)

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

• AI chatbot (OpenAI + LangChain)

  A Netx.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 chatbot (OpenAI + LlamaIndex)

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

• Semantic search chatbot (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

AI integrations

Learn how to integrate Neon Postgres with LLMs and AI platforms.

• LangChain (with OpenAI)

  Learn how to use LangChain with OpenAI to create AI applications faster

• LlamaIndex (with OpenAI)

  Learn how to use LlamaIndex with OpenAI to create AI applications faster

Preparing your AI app for production

• Optimize pgvector search

  Optimize pgvector search for better application performance

• Scale with Neon

  Scale your AI app with Neon's Autoscaling and Read Replica features

AI apps built with Neon

AI applications built with Neon Postgres that you can reference as code examples or inspiration.

• 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 serch 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

AI tools

Learn about popular AI tools and how to use them with Neon Postgres.

• Google Colab

  A cloud-based environment to write and execute Python code, perfect for machine learning and data science tasks

• Azure Data Studio Notebooks

  A cloud-based Jupyter notebook service integrated with Azure Data Studio for creating, running, and sharing notebooks