The article explores the application of artificial intelligence (AI), particularly neural networks, in library services. It discusses how AI technologies are being integrated into bibliographic services, including information indexing, metadata extraction, and bibliographic record creation. The study highlights the potential of AI to enhance the quality and efficiency of library services, such as chatbots for user interaction, advanced search functions, and personalized information delivery. Examples include the use of AI in cataloging, information retrieval, and the development of recommendation systems. The article also addresses the challenges and ethical considerations of AI implementation in libraries, emphasizing the need for further research and development. It notes that while AI has shown promise in improving library operations, its full potential remains underexplored. The study concludes that expanding AI applications in libraries can significantly enhance bibliographic services, improve staff competence, and introduce new types of library services. The research is conducted within the framework of a national research project focused on reference and bibliographic services for national libraries. Key terms include library and information services, bibliographic services, end-to-end technologies, artificial intelligence, and neural networks.The article explores the application of artificial intelligence (AI), particularly neural networks, in library services. It discusses how AI technologies are being integrated into bibliographic services, including information indexing, metadata extraction, and bibliographic record creation. The study highlights the potential of AI to enhance the quality and efficiency of library services, such as chatbots for user interaction, advanced search functions, and personalized information delivery. Examples include the use of AI in cataloging, information retrieval, and the development of recommendation systems. The article also addresses the challenges and ethical considerations of AI implementation in libraries, emphasizing the need for further research and development. It notes that while AI has shown promise in improving library operations, its full potential remains underexplored. The study concludes that expanding AI applications in libraries can significantly enhance bibliographic services, improve staff competence, and introduce new types of library services. The research is conducted within the framework of a national research project focused on reference and bibliographic services for national libraries. Key terms include library and information services, bibliographic services, end-to-end technologies, artificial intelligence, and neural networks.