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The article discusses the limitations of traditional relational database management systems (RDBMS) in handling unstructured data and introduces vector databases as a cutting-edge solution for the age of AI. Vector databases are designed to handle and query high-dimensional vector embeddings, which are crucial for tasks such as similarity search, recommendation systems, and natural language processing.