DocGenie: A Retrieval-Augmented Generation Chatbot for Interactive PDF Exploration

In order to overcome the drawbacks of conventional PDF readers, this article presents DocGenie, a cutting-edge tool that allows for dynamic and interactive document study. DocGenie improves user engagement and accessibility in document-intensive workflows by enabling effective querying, summarization, and contextual interaction through the use of Retrieval-Augmented Generation (RAG) and Google Gemini Pro. The accuracy, efficiency, and user satisfaction of DocGenie surpass those of traditional tools because to the use of cutting-edge techniques including document chunking, FAISS-based embedding storage, and real-time natural language processing. The platform is a major breakthrough in AI-driven document interaction because of its distinctive characteristics, which include multi-document querying, adaptive summarization, and multilingual support. This paper also identifies opportunities for improvement, such as support for a variety of file formats and improved multilingual capabilities, while highlighting DocGenie's potential uses in fields including education, legal research, and digital libraries.