RAG Based Customized ChatBot – Case Study

The project is an AI-powered Retrieval-Augmented Generation (RAG) application that allows users to upload PDF documents, ask questions about their content, and receive accurate, context-aware answers by utilizing OpenAI's language models, embeddings, and a vector database for efficient document retrieval.