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The article discusses the concept of vector databases and their application in analytics and artificial intelligence. The authors begin by addressing the key features of vector databases that facilitate effective management and processing of data represented as vectors. Such databases are particularly beneficial in the context of machine learning, where data often takes the form of complex multidimensional structures. The article also includes comparisons of popular vector database systems, enabling a better understanding of which options may be most suitable for specific applications. Furthermore, the authors indicate the future of vector databases and their increasing significance in data analysis from large information sets, which contributes to enhanced efficiency across various fields. Readers will also find examples of the practical uses of vector databases, further emphasizing their importance in modern data analytics.