ScalarQuantizationCompression Class
Definition
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Contains configuration options specific to the scalar quantization compression method used during indexing and querying.
public class ScalarQuantizationCompression : Azure.Search.Documents.Indexes.Models.VectorSearchCompressiontype ScalarQuantizationCompression = class
inherit VectorSearchCompressionPublic Class ScalarQuantizationCompression
Inherits VectorSearchCompression- Inheritance
Constructors
| ScalarQuantizationCompression(String) |
Initializes a new instance of ScalarQuantizationCompression. |
Properties
| CompressionName |
Gets the name associated with this particular configuration. (Inherited from VectorSearchCompression) |
| 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 VectorSearchCompression) |
| 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 VectorSearchCompression) |
Applies to
Azure SDK for .NET