This project enhances the construction of RAG applications by addressing challenges, improving accessibility, scalability, and managing data and user access. It uses Django, Llamaindex, and Google Drive for effective database management.
An application that enable the users to upload PDF files and ask questions regarding their content using Retrieval Augmented Generation (RAG)
