A vector database is a specialized data store designed to handle vector embeddings – numerical representations of data points such as words, images, or documents. These embeddings capture semantic meaning, allowing for similarity searches based on concepts rather than exact keyword matches. In AI workflows, vector databases are essential for powering advanced search, recommendation engines, and Retrieval-Augmented Generation systems.
