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PlanetScale is bringing vector search and storage to MySQL

We’re excited to announce that we are adding support for vector storage and search into MySQL and PlanetScale. Soon, you’ll be able to use PlanetScale as a vector database for all of your AI needs without needing to adopt a second tool. You can sign up to be notified of release at planetscale.com/ai. What are vectors? A vector is a one-dimensional array of real number values: [1, 1] is a vector, as is [1.5, 8.889, 9.234]. Each element represents an attribute or a dimension, and the position of that element in the array represents a “point.” In three-dimensional space, a vector of [2, 3, 5] would have 2 as the x-coordinate, 3 as the y-coordinate and 5 as the z-coordinate. In real-world applications of artificial intelligence, vectors are in significantly higher dimensionality — well above 1,000! Modern databases are already very good at storing lists of numbers. Storing vectors as a raw datatype is not interesting, like points on a globe or …

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