Baas Chat

An Open-Source AI Chatbot w/ MeetingBaas Integrated - Fork of Vercel's AI Chatbot

Features

• MeetingBaas
  • Unified API for integrating with Google Meet, Zoom, and Microsoft Teams meetings
  • Automated recording, transcription, and LLM summaries through simple API endpoints
• 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, xAI, Fireworks, 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
  • Support for several providers like Keycloak, Resend, and Google Authentication.

Upgrades

This enhanced version of the AI Chatbot template includes several key upgrades to improve authentication, UX, and functionality:

• Auth System Revamp
  • Fully refactored authentication using authjs and next-safe-action
  • Support for multiple providers:
    • Magic Link (Resend) with a custom Resend email template
    • Google Authentication
    • Keycloak (Credentials) with included integration guide
• Redesigned Login & Register Pages
  • Modern, user-friendly layouts with improved UX and input validation
• Home Page Makeover
  • Cleaner interface and layout for the chatbot landing page
• Web Search Integration
  • Responses enriched via OpenAI's Responses API, adding contextual and real-time info

Model Providers

This template ships with OpenAI gpt-4o as the default chat model. However, with the AI SDK, you can switch LLM providers to xAI, 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:

Running locally

You will need to use the environment variables defined in .env.example to run the 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 AI 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.