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KnownVectorSearchAlgorithmMetric enum

  • Reference
Package:
@azure/search-documents

Known values of VectorSearchAlgorithmMetric that the service accepts.

Fields

Cosine

Measures the angle between vectors to quantify their similarity, disregarding magnitude. The smaller the angle, the closer the similarity.
DotProduct

Calculates the sum of element-wise products to gauge alignment and magnitude similarity. The larger and more positive, the closer the similarity.
Euclidean

Computes the straight-line distance between vectors in a multi-dimensional space. The smaller the distance, the closer the similarity.
Hamming

Only applicable to bit-packed binary data types. Determines dissimilarity by counting differing positions in binary vectors. The fewer differences, the closer the similarity.