AI Tools for Knowledge Management – Knowledge Base Creation via LLM and RAG for AI Assistant

AI assistants allow the automation of routine tasks performed by humans, thereby supporting the optimization of business processes within enterprises. By leveraging large language models (LLMs), they help retrieve relevant content and knowledge to undertake activities within business processes. Assistants also aid in preparing content constituting the output of individual steps in business processes. The development of an assistant using generative artificial intelligence to support and automate student service processes in the dean's office work area is a very innovative solution. It should be noted that this area of the university's activities has not used advanced technological solutions so far. Thus, the special contribution of the article is to explore such a possibility and develop a prototype solution. This article aims to show how efficiently create a knowledge base for an AI-powered assistant. For this paper, processes refer to questions answering from students at the Wroclaw University of Economics and Business. As part of a practical study, a database of 350 sample questions generated by actual students was collected, which was then analyzed using language models, which then identified key topics in the AI agent's knowledge base.