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

Next.js AI Chatbot

An open-source AI chatbot app template built with Next.js, the Vercel AI SDK, Google Gemini, and Vercel KV.

Features · Model Providers · Deploy Your Own · Running locally · Authors

Features

Next.js App Router
React Server Components (RSCs), Suspense, and Server Actions
Vercel AI SDK for streaming chat UI
Support for Google Gemini (default), OpenAI, Anthropic, Cohere, Hugging Face, or custom AI chat models and/or LangChain
shadcn/ui
- Styling with Tailwind CSS
- Radix UI for headless component primitives
- Icons from Phosphor Icons
Chat History, rate limiting, and session storage with Vercel KV
NextAuth.js for authentication

Model Providers

This template ships with Google Gemini models/gemini-1.0-pro-001 as the default. However, thanks to the Vercel AI SDK, you can switch LLM providers to OpenAI, Anthropic, Cohere, Hugging Face, or using LangChain 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:

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 Google Cloud 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.

Authors

This library is created by Vercel and Next.js team members, with contributions from: