google-research/scann at master · google-research/google-research
ScaNN (Scalable Nearest Neighbors) is a method for efficient vector similarity search at scale. This code release implements [1], which includes search space pruning and quantization for Maximum Inner Product Search and also supports other distance functions such as Euclidean distance. The implementation is designed for x86 processors with AVX2 support. ScaNN achieves state-of-the-art performance
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