Vector databases are crucial for storing data generated by AI modeling, enabling easier access and inference during AI processes. They handle the unique storage needs of high-dimensional data.
High-dimensional data allows the capture of extensive information from AI processes, like speech or image processing, greatly exceeding conventional low-dimensional datasets in complexity and volume.
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