VectorSearchCompressionConfiguration Class
Definition
Important
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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
-
VectorSearchCompressionConfiguration
- Derived
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. |
Applies to
Azure SDK for .NET
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