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ChatWithPDF is a cutting-edge platform that enhances PDF functionality. Users can upload PDFs, extract summaries, and get answers to questions. It features an attractive UI with shadcn and Tailwind CSS and employs advanced tech like Langchain and OpenAI models for chat completions and text embeddings. It's a powerful tool for document management

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Kiranism/chat-with-pdf

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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

#playing with models openai challenges => cant perform embedding because of free tier limit 3/min. to tackle this im gonna make the chunksize high and limit to 3 not good at all but to test its enough.

chatgpt model using cosine and transformer im trying dot product and cosine for similarites. vector dimension of text-ada open ai model is 1536, so need to update pinecone db;

By using transformers i can use the "Xenova/e5-large-v2" model and its dimensions is 1024 so need to change the pinecone config.

pinecone migrated from 0 to 1v so things changes including namespace not available for free tier so need to use some filter across the meta data.

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

ChatWithPDF is a cutting-edge platform that enhances PDF functionality. Users can upload PDFs, extract summaries, and get answers to questions. It features an attractive UI with shadcn and Tailwind CSS and employs advanced tech like Langchain and OpenAI models for chat completions and text embeddings. It's a powerful tool for document management

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