RAGChat: A Web App for Intelligent PDF Information Retrieval and Question Answering
In today’s digital era, vast amounts of information are stored in unstructured document formats such as PDFs. Extracting relevant insights from these files often requires manually reading through large volumes of text, which is both time-consuming and inefficient. This challenge has created a growing need for intelligent systems that can automatically understand, retrieve, and summarize information from documents — enabling users to access knowledge effortlessly. RAGChat is a web-based intelligent information retrieval and question-answering system designed to address this need. The platform allows users to upload one or more PDF files and interact with them through natural language queries. Instead of searching manually, users can simply ask questions, and RAGChat intelligently retrieves the most relevant document sections to generate accurate and context-aware answers. The system leverages the power of Retrieval-Augmented Generation (RAG) — a hybrid approach combining semanti...