ScalarQuantizationCompressionConfiguration Class

Definition

Namespace:

Azure.Search.Documents.Indexes.Models

Assembly:

Azure.Search.Documents.dll

Package:

Azure.Search.Documents v11.6.0-beta.3

Source:

ScalarQuantizationCompressionConfiguration.cs

Contains configuration options specific to the scalar quantization compression method used during indexing and querying.

public class ScalarQuantizationCompressionConfiguration : Azure.Search.Documents.Indexes.Models.VectorSearchCompressionConfiguration

type ScalarQuantizationCompressionConfiguration = class
    inherit VectorSearchCompressionConfiguration

Public Class ScalarQuantizationCompressionConfiguration
Inherits VectorSearchCompressionConfiguration

Inheritance

Object

VectorSearchCompressionConfiguration

ScalarQuantizationCompressionConfiguration

Constructors

ScalarQuantizationCompressionConfiguration(String)

Initializes a new instance of ScalarQuantizationCompressionConfiguration.

Properties

DefaultOversampling	Default oversampling factor. Oversampling will internally request more documents (specified by this multiplier) in the initial search. This increases the set of results that will be reranked using recomputed similarity scores from full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when rerankWithOriginalVectors is true. Higher values improve recall at the expense of latency. (Inherited from VectorSearchCompressionConfiguration)
Name	The name to associate with this particular configuration. (Inherited from VectorSearchCompressionConfiguration)
Parameters	Contains the parameters specific to Scalar Quantization.
RerankWithOriginalVectors	If set to true, once the ordered set of results calculated using compressed vectors are obtained, they will be reranked again by recalculating the full-precision similarity scores. This will improve recall at the expense of latency. (Inherited from VectorSearchCompressionConfiguration)