Build a chat with document app called DocuRAG.
It will be a typical RAG setup where a user
can upload a document. It will be chunked,
embedded, and stored in a vector DB. Once done,
A user can ask questions about the document.
The engine will retrieve the relevant chunks
after embedding the query. Finally, it will
generate a coherent response using GPT-4o based on
the query and the retrieved context. Add Google OAuth.
Use Insforge as the backend and also for the model
gateway. Build the front-end in Next.js.