Ai Index Metadata Config Args
data class AiIndexMetadataConfigArgs(val algorithmConfig: Output<AiIndexMetadataConfigAlgorithmConfigArgs>? = null, val approximateNeighborsCount: Output<Int>? = null, val dimensions: Output<Int>, val distanceMeasureType: Output<String>? = null, val featureNormType: Output<String>? = null, val shardSize: Output<String>? = null) : ConvertibleToJava<AiIndexMetadataConfigArgs>
Properties
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The configuration with regard to the algorithms used for efficient search. Structure is documented below.
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The default number of neighbors to find via approximate search before exact reordering is performed. Exact reordering is a procedure where results returned by an approximate search algorithm are reordered via a more expensive distance computation. Required if tree-AH algorithm is used.
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The number of dimensions of the input vectors.
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The distance measure used in nearest neighbor search. The value must be one of the followings:
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Type of normalization to be carried out on each vector. The value must be one of the followings: