An intelligent research assistant that retrieves, summarizes, and generates insights from large text sources using Retrieval-Augmented Generation (RAG) and LLMs. This project demonstrates how to build an end-to-end AI system that can understand context, answer questions, and provide factual summaries using modern machine learning pipelines

AI-powered file chatbot built with Next.js and LangChain that allows users to upload documents and ask questions using Retrieval-Augmented Generation (RAG).