Vector databases


Vector databases are specialized database systems that are optimized for the efficient storage and retrieval of high-dimensional vector data. They play an important role in AI applications, especially in areas such as similarity search, recommendation systems and natural language processing. Vector databases enable fast and precise queries in large data sets, making them an essential component of modern AI infrastructures.