AI Chatbot

An open-source AI chatbot app built with Next.js, the Vercel AI SDK, OpenAI, and Vercel KV that ses OpenAI `gpt-3.5-turbo` as a model provider.

Features · Creating a KV Database Instance · 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 OpenAI (default), 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

Creating a KV Database Instance

Follow the steps outlined in the quick start guide provided by Vercel. This guide will assist you in creating and configuring your KV database instance on Vercel, enabling your application to interact with it.

Remember to update your environment variables (KV_URL, KV_REST_API_URL, KV_REST_API_TOKEN, KV_REST_API_READ_ONLY_TOKEN) in the .env file with the appropriate credentials provided during the KV database setup.

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.

Authors

This library is based on the template created by Vercel and Next.js.