  With the rapid evolution of Natural Language Processing (NLP), Large Language
Models (LLMs) like ChatGPT have emerged as powerful tools capable of
transforming various sectors. Their vast knowledge base and dynamic interaction
capabilities represent significant potential in improving education by
operating as a personalized assistant. However, the possibility of generating
incorrect, biased, or unhelpful answers are a key challenge to resolve when
deploying LLMs in an education context. This work introduces an innovative
architecture that combines the strengths of ChatGPT with a traditional
information retrieval based chatbot framework to offer enhanced student support
in higher education. Our empirical evaluations underscore the high promise of
this approach.
