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This article examines an urgent problem related to the development and use of an automatic knowledge base in the field of modern procurement. First of all, the importance of creating such a knowledge base and its application in the context of procurement processes is considered. The scope of the knowledge base, including both customers and suppliers, is highlighted, which is a key aspect to ensure the efficiency and transparency of procurement processes. Special attention is paid to the study of the main legislation regulating procurement processes, including Federal Laws No. 44-FZ and 223-FZ, as well as other legal acts essential for this area. This is important to understand the context in which the automatic knowledge base will be used, as well as to ensure that it meets all legal requirements. In addition, the article provides a detailed overview of the use of Large Language Model (LLM) technology with information vectorization based on semantic analysis. This technique is
Keywords:automatic knowledge base, procurement, legislation, Federal Laws No. 44-FZ and 223-FZ, document management, machine learning, natural language processing, Large Language Model (LLM), information vectorization, semantic analysis, knowledge management, embedding vectors, semantic distance, cosine distance, information systematization
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