A Streamlit-based AI chatbot that allows users to upload PDFs and ask questions about their content using Google's Generative AI.

Page setting templetes and document processing scripts for zine making

This RAG stack can run on a raspberry pi (16GB CPU)

This project is an implementation of Retrieval-Augmented Generation (RAG) using Streamlit. It integrates various document loaders and NLP models to allow users to upload documents, process them into text chunks, and create vector stores for efficient retrieval.