ScalarQuantizationCompression Class
Definition
Important
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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.VectorSearchCompression, System.ClientModel.Primitives.IJsonModel<Azure.Search.Documents.Indexes.Models.ScalarQuantizationCompression>, System.ClientModel.Primitives.IPersistableModel<Azure.Search.Documents.Indexes.Models.ScalarQuantizationCompression>type ScalarQuantizationCompression = class
inherit VectorSearchCompression
interface IJsonModel<ScalarQuantizationCompression>
interface IPersistableModel<ScalarQuantizationCompression>Public Class ScalarQuantizationCompression
Inherits VectorSearchCompression
Implements IJsonModel(Of ScalarQuantizationCompression), IPersistableModel(Of ScalarQuantizationCompression)- Inheritance
- Implements
Constructors
| Name | Description |
|---|---|
| ScalarQuantizationCompression(String) |
Initializes a new instance of ScalarQuantizationCompression. |
Properties
| Name | Description |
|---|---|
| CompressionName |
The name to associate with this particular configuration. (Inherited from VectorSearchCompression) |
| Parameters |
Contains the parameters specific to Scalar Quantization. |
| RescoringOptions |
Contains the options for rescoring. (Inherited from VectorSearchCompression) |
| TruncationDimension |
The number of dimensions to truncate the vectors to. Truncating the vectors reduces the size of the vectors and the amount of data that needs to be transferred during search. This can save storage cost and improve search performance at the expense of recall. It should be only used for embeddings trained with Matryoshka Representation Learning (MRL) such as OpenAI text-embedding-3-large (small). The default value is null, which means no truncation. (Inherited from VectorSearchCompression) |
