AI ASSISTANT FOR THE ADAPTATION OF IT SPECIALISTS IN THE ITS FIELD: ISSUES OF RELEVANCE, ARCHITECTURE, SECURITY, AND ETHICS IN THE CONTEXT OF DIGITALIZATION IN THE TRANSPORT SECTOR

The article discusses the use of a personalized AI assistant based on RAG (Retrieval-Augmented Generation) for the adaptation of IT specialists in the ITS field. The capabilities of the technology, the solution architecture, security and ethics issues are discussed. The use of RAG on domain knowledge sources for the adaptation of employees in the transport industry contributes to digital transformation, advanced training of personnel and sustainable development of ITS in the regions.