Chat with a PDF file

Have a look at the documentation for more information on setting up the app.

This demo application uses OpenAI, LangChain.js, Supabase and Cloudflare R2 to allow you to chat with a PDF.
PDF is uploaded into Cloudflare R2, then split into chunks and embedded in Supabase vector storage.
The main frontend logic is found in the app/(apps)/chat/pdf folder.
The main configuration file can be found in app/(apps)/pdf/toolConfig.ts file. You can specify the GPT model used & number messages included in the history.
The API endpoint and logic can be found in app/api/(apps)/pdf/chat/route.ts.
The API to generate embeddings be found in app/api/(apps)/pdf/vectorize/route.ts.
The API to upload PDF can be found in app/api/(apps)/pdf/upload/route.ts.
The API to delete PDF & embeddings can be found in app/api/(apps)/pdf/delete/route.ts.
Hope you like it - give it a try!

2024 — built with 🤍 by Fekri

👋🏼

Hi there!

Hope you're having a great day! You can try out the app below.

Please log in first to test out the demo app.

Have a look at the documentation for more information on setting up the app.

This demo application uses OpenAI, LangChain.js, Supabase and Cloudflare R2 to allow you to chat with a PDF.
PDF is uploaded into Cloudflare R2, then split into chunks and embedded in Supabase vector storage.
The main frontend logic is found in the app/(apps)/chat/pdf folder.
The main configuration file can be found in app/(apps)/pdf/toolConfig.ts file. You can specify the GPT model used & number messages included in the history.
The API endpoint and logic can be found in app/api/(apps)/pdf/chat/route.ts.
The API to generate embeddings be found in app/api/(apps)/pdf/vectorize/route.ts.
The API to upload PDF can be found in app/api/(apps)/pdf/upload/route.ts.
The API to delete PDF & embeddings can be found in app/api/(apps)/pdf/delete/route.ts.
Hope you like it - give it a try!