VectorSearchCompressionConfiguration Class

Definition

Namespace:

Azure.Search.Documents.Indexes.Models

Assembly:

Azure.Search.Documents.dll

Package:

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

Source:

VectorSearchCompressionConfiguration.cs

Contains configuration options specific to the compression method used during indexing or querying. Please note VectorSearchCompressionConfiguration is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include ScalarQuantizationCompressionConfiguration.

public abstract class VectorSearchCompressionConfiguration

type VectorSearchCompressionConfiguration = class

Public MustInherit Class VectorSearchCompressionConfiguration

Inheritance

Object

VectorSearchCompressionConfiguration

Derived

Azure.Search.Documents.Indexes.Models.ScalarQuantizationCompressionConfiguration

Constructors

VectorSearchCompressionConfiguration(String)

Initializes a new instance of VectorSearchCompressionConfiguration.

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.
Name	The name to associate with this particular configuration.
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.