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A Chat with PDF! Here, you can upload a PDF and chat with it to retrieve any information you need. It uses LangChain and OpenAI embeddings for processing, with Pinecone for vector storage.

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ifeelgarv/chat-with-pdf-AI-SaaS

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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 Geist, a new font family for Vercel.

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.

Firebase

Add firebase.ts to your project Add firebaseAdmin.ts to your project

Environment Variables

Create a .env.local file and add the following variables:

NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY
CLERK_SECRET_KEY
PINECONE_API_KEY
OPENAI_API_KEY

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A Chat with PDF! Here, you can upload a PDF and chat with it to retrieve any information you need. It uses LangChain and OpenAI embeddings for processing, with Pinecone for vector storage.

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