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Vector Databases and Approximate Nearest Neighbor

向量数据库与近似最近邻

Vector Databases and Approximate Nearest Neighbor

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  1. Modern search engines convert text, images, or sounds into numerical vectors—lists of hundreds of numbers representing meaning or features.

  2. Finding similar items means computing distances between vectors, but checking every pair in billion-item databases would take hours.

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