gemini-chatbot

Next.js Gemini Chatbot

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

Features · Model Providers · Deploy Your Own · Running locally

## 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: ## 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/).