The CTU-Helper system is an automated question-answering system designed to assist students and prospective applicants at Can Tho University (CTU) in quickly and efficiently accessing information regarding academic regulations and admissions. This system utilizes Retrieval-Augmented Generation (RAG) combined with Bi-encoder and Cross-encoder models for natural language processing. The Bi-encoder allows the system to compare user questions with questions stored in the database, thereby identifying corresponding answers. The Cross-encoder is used to assess the relevance between user questions and potential answers, ensuring the accuracy of returned results. Additionally, CTU-Helper is equipped with Semantic Router technology, which facilitates semantic classification for queries. This technology enables the system to identify the main topic of the question and forward the query to the appropriate processing model, enhancing information retrieval efficiency. Evaluation results indicate that CTU-Helper achieves high performance with a Recall of 0.8683 in the information retrieval process. This demonstrates the system’s ability to effectively search and return accurate information to users. With its outstanding advantages, CTU-Helper promises to be a valuable support tool for students and applicants at CTU, facilitating easier and more convenient access to information. This system also opens up new research directions in applying advanced natural language processing techniques to build automated question-answering systems in the educational field.