Generative AI-Driven Chatbot for Personalized University Information and Assistance

This paper outlines the development of a generative AI-driven chatbot for university admissions and general inquiries, using a Retrieval-Augmented Generation (RAG) framework. By embedding university-related documents into a vector database and indexing them with FAISS, the system efficiently retrieves information and generates precise, context-aware responses. The chatbot improves user experience by providing accurate answers to prospective students and other users, showcasing the potential of generative AI in educational settings for managing inquiries effectively