An Open-Source AI Chatbot Template Built With Next.js and the AI SDK by Vercel.
Features · Model Providers · Deploy Your Own · Running locally
- 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
- Styling with Tailwind CSS
- Component primitives from Radix UI for accessibility and flexibility
- Data Persistence
- Vercel Postgres powered by Neon for saving chat history and user data
- Vercel Blob for efficient file storage
- NextAuth.js
- Simple and secure authentication
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.
You can deploy your own version of the Next.js AI Chatbot to Vercel with one click:
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.
- Install Vercel CLI:
npm i -g vercel
- Link local instance with Vercel and GitHub accounts (creates
.vercel
directory):vercel link
- Download your environment variables:
vercel env pull
pnpm install
pnpm dev
Your app template should now be running on localhost:3000.
-
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;