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RAG-based Intelligent College Information Question and Answer System

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2025, 11(3), pp.161~166
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : May 18, 2025
  • Accepted : June 12, 2025
  • Published : June 30, 2025

Hyun-Seob Lee 1

1백석대학교

Accredited

ABSTRACT

This study presents the design and implementation of a question and answer system for academic information and faculty regulations using RAG (Retrieval Augmented Generation) technology in a university environment. To overcome the limitations of existing regulation retrieval systems, we developed a chatbot system that provides accurate and contextualized responses to user queries by combining the latest natural language processing technology and retrieval augmented generation methods. The system works by indexing the university's academic information and faculty regulations documents into a vector database, efficiently retrieving information related to user queries, and generating responses through a large-scale language model. The proposed RAG-based chatbot is designed to provide natural and interactive responses while maintaining the accuracy of the regulatory content, which can significantly improve user satisfaction and information accessibility. This research presents a practical model for the digital transformation of university administrative services and could contribute to the advancement of information services in various educational institutions in the future.

Citation status

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