Wilson635 / Chat_pdf_AI

Chat on your pdf with the AI

Home Page:https://ssiiservices.vercel.app

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Quill - A Modern Fullstack SaaS-Platform

Built with the Next.js 13.5 App Router, tRPC, TypeScript, Prisma & Tailwind

Project Image

Features

  • πŸ› οΈ Complete SaaS Built From Scratch
  • πŸ’» Beautiful Landing Page & Pricing Page Included
  • πŸ’³ Free & Pro Plan Using Stripe
  • πŸ“„ A Beautiful And Highly Functional PDF Viewer
  • πŸ”„ Streaming API Responses in Real-Time
  • πŸ”’ Authentication Using Kinde
  • 🎨 Clean, Modern UI Using 'shadcn-ui'
  • πŸš€ Optimistic UI Updates for a Great UX
  • ⚑ Infinite Message Loading for Performance
  • πŸ“€ Intuitive Drag n’ Drop Uploads
  • ✨ Instant Loading States
  • πŸ”§ Modern Data Fetching Using tRPC & Zod
  • 🧠 LangChain for Infinite AI Memory
  • 🌲 Pinecone as our Vector Storage
  • πŸ“Š Prisma as our ORM
  • πŸ”€ 100% written in TypeScript
  • 🎁 ...much more

Getting started

To get started with this project, run

  git clone https://github.com/Wilson635/Chat_pdf_AI.git

and copy the .env.example variables into a separate .env file, fill them out & and that's all you need to get started!

Acknowledgements

License

MIT

This is a Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Inter, a custom Google Font.

Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

About

Chat on your pdf with the AI

https://ssiiservices.vercel.app


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Language:TypeScript 96.9%Language:CSS 2.5%Language:JavaScript 0.6%