Vector Databases for AI & ML | Slides

Vector databases are a type of database designed to handle high-dimensional data, particularly in the field of AI and machine learning. They allow for efficient storage, processing, and computation on data represented as vectors. These databases are crucial in performing operations such as similarity search and nearest neighbor search on high-dimensional data, providing faster and more efficient processing.
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