RAG-Based AI Chatbot for Student and Institutional Assistance

Abstract

In the contemporary higher education setting of heightened student involvement and the need for immediate information, institutions must counteract the challenge of deliv- ering effective and convenient customer service. The steady flow of questions about admissions, academics, and campus services overwhelms support personnel and requires responsive solutions to better support the student experience. Filling this void, the ”RAG-Based AI Chatbot for College Customer Support” presents a solution, enabling students, parents, and staff to receive instant support and information. Building on Retrieval-Augmented Generation (RAG) combined with Large Language Models (LLMs), the chatbot leverages a powerful architecture to tap into related information from reliable sources like college databases, web pages, and documents. Upon receiving user queries, the system efficiently identifies and ranks pertinent information, enabling the LLM to generate accurate and context-aware responses. This innovative solution offers 24/7 support, streamlines operational processes, and reduces the workload on support teams, fostering a more efficient and satisfying college experience.