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Next.js 14 and App Router-ready AI chatbot.

Next.js AI Chatbot

An Open-Source AI Chatbot Template Built With Next.js and the AI SDK by Vercel.

Features · Model Providers · Deploy Your Own · Running locally


Features

  • Next.js App Router
    • Advanced routing for seamless navigation and performance
    • React Server Components (RSCs) and Server Actions for server-side rendering and increased performance
  • AI SDK
    • Unified API for generating text, structured objects, and tool calls with LLMs
    • Hooks for building dynamic chat and generative user interfaces
    • Supports OpenAI (default), Anthropic, Cohere, and other model providers
  • shadcn/ui
  • Data Persistence
  • NextAuth.js
    • Simple and secure authentication

Model Providers

This template ships with OpenAI gpt-4o as the default. However, with the AI SDK, you can switch LLM providers to OpenAI, Anthropic, Cohere, and many more with just a few lines of code.

Deploy Your Own

You can deploy your own version of the Next.js AI Chatbot to Vercel with one click:

Deploy with Vercel

Running locally

You will need to use the environment variables defined in .env.example to run Next.js AI Chatbot. It's recommended you use Vercel Environment Variables for this, but a .env file is all that is necessary.

Note: You should not commit your .env file or it will expose secrets that will allow others to control access to your various OpenAI and authentication provider accounts.

  1. Install Vercel CLI: npm i -g vercel
  2. Link local instance with Vercel and GitHub accounts (creates .vercel directory): vercel link
  3. Download your environment variables: vercel env pull
pnpm install
pnpm dev

Your app template should now be running on localhost:3000.

PSQL Helper queries

  • Drop all tables

    DO $$ 
BEGIN 
  EXECUTE (
      SELECT string_agg('DROP TABLE IF EXISTS "' || tablename || '" CASCADE;', ' ')
      FROM pg_tables
      WHERE schemaname = 'public'
  );
END $$;

  • Drop Drizzle schema

    DROP SCHEMA drizzle CASCADE;