vercel-labs

vercel-labs/gemini-chatbot

Build your own generative UI chatbot using the Vercel AI SDK and Google Gemini

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README.md

<a href="https://chat.vercel.ai/">
 <img alt="Next.js 14 and App Router-ready AI chatbot." src="app/(chat)/opengraph-image.png">
 <h1 align="center">Next.js Gemini Chatbot</h1>
</a>

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

<a href="#features">Features</a> ·
 <a href="#model-providers">Model Providers</a> ·
 <a href="#deploy-your-own">Deploy Your Own</a> ·
 <a href="#running-locally">Running locally</a>

## Features

- [Next.js](https://nextjs.org) 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](https://sdk.vercel.ai/docs)
  - Unified API for generating text, structured objects, and tool calls with LLMs
  - Hooks for building dynamic chat and generative user interfaces
  - Supports Google (default), OpenAI, Anthropic, Cohere, and other model providers
- [shadcn/ui](https://ui.shadcn.com)
  - Styling with [Tailwind CSS](https://tailwindcss.com)
  - Component primitives from [Radix UI](https://radix-ui.com) for accessibility and flexibility
- Data Persistence
  - [Vercel Postgres powered by Neon](https://vercel.com/storage/postgres) for saving chat history and user data
  - [Vercel Blob](https://vercel.com/storage/blob) for efficient object storage
- [NextAuth.js](https://github.com/nextauthjs/next-auth)
  - Simple and secure authentication

## Model Providers

This template ships with Google Gemini `gemini-1.5-pro` models as the default. However, with the [AI SDK](https://sdk.vercel.ai/docs), you can switch LLM providers to [OpenAI](https://openai.com), [Anthropic](https://anthropic.com), [Cohere](https://cohere.com/), and [many more](https://sdk.vercel.ai/providers/ai-sdk-providers) 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](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fvercel-labs%2Fgemini-chatbot&env=AUTH_SECRET,GOOGLE_GENERATIVE_AI_API_KEY&envDescription=Learn%20more%20about%20how%20to%20get%20the%20API%20Keys%20for%20the%20application&envLink=https%3A%2F%2Fgithub.com%2Fvercel-labs%2Fgemini-chatbot%2Fblob%2Fmain%2F.env.example&demo-title=Next.js%20Gemini%20Chatbot&demo-description=An%20Open-Source%20AI%20Chatbot%20Template%20Built%20With%20Next.js%20and%20the%20AI%20SDK%20by%20Vercel.&demo-url=https%3A%2F%2Fgemini.vercel.ai&stores=[{%22type%22:%22postgres%22},{%22type%22:%22blob%22}])

## Running locally

You will need to use the environment variables [defined in `.env.example`](.env.example) to run Next.js AI Chatbot. It's recommended you use [Vercel Environment Variables](https://vercel.com/docs/projects/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.

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`

```bash
pnpm install
pnpm dev
```

Your app template should now be running on [localhost:3000](http://localhost:3000/).

Repository info

Default branch: main
Latest version: —
Created: 04/04/2024
Last activity: 24/10/2026
License: Other
Open issues: 36
Watchers: 8

Topics

ai chatbot gemini-pro nextjs react typescript vercel

Contributors

jeremyphilemon

28 contributions

jaredpalmer

15 contributions

shuding

11 contributions

shadcn

7 contributions

haydenbleasel

4 contributions