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Meng Zhang eb15933255
feat: add tabby playground for q&a use case (#493) 
* init commit

* support chat

* add theme toggle

* limit message to 2 lines

* update

* update formatting

* update

* update

* update

* fix formatting

* update
 		2023-09-29 15:51:54 -07:00
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app feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
assets/fonts feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
components feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
lib feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
.env.example feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
.eslintrc.json feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
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LICENSE feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
README.md feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
next-env.d.ts feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
next.config.js feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
package.json feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
postcss.config.js feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
prettier.config.cjs feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
tailwind.config.js feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
tsconfig.json feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00
yarn.lock feat: add tabby playground for q&a use case (#493) 2023-09-29 15:51:54 -07:00

README.md

Next.js 13 and app template Router-ready AI chatbot.

Next.js AI Chatbot

An open-source AI chatbot app template built with Next.js, the Vercel AI SDK, OpenAI, 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 OpenAI (default), Anthropic, Hugging Face, or custom AI chat models and/or LangChain
  • Edge runtime-ready
  • shadcn/ui
  • Chat History, rate limiting, and session storage with Vercel KV
  • NextAuth.js for authentication

Model Providers

This template ships with OpenAI gpt-3.5-turbo as the default. However, thanks to the Vercel AI SDK, you can switch LLM providers to Anthropic, 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:

Deploy with Vercel

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