prathamkumars125/chat-with-multiple-document repository overview

An end-to-end Information Retrieval System designed for effective question answering from user-provided documents using advanced Natural Language Processing techniques and tools such as Llama3, Streamlit, and Hugging Face. This system supports a range of document formats including PDFs, Word documents, and text files, enabling users to input diverse types of content. By leveraging state-of-the-art models and algorithms, the system extracts and retrieves relevant information from multiple documents, ensuring accurate and comprehensive responses to user queries. This solution streamlines the process of information retrieval and enhances the ability to access and utilize data from various document sources efficiently.