SearchModelFactory.VectorizableImageBinaryQuery Method

Definition

Namespace:
Azure.Search.Documents.Models
Assembly:
Azure.Search.Documents.dll
Package:
Azure.Search.Documents v12.0.0
Source:
SearchModelFactory.cs

The query parameters to use for vector search when a base 64 encoded binary of an image that needs to be vectorized is provided.

public static Azure.Search.Documents.Models.VectorizableImageBinaryQuery VectorizableImageBinaryQuery(int? kNearestNeighborsCount = default, string fieldsRaw = default, bool? exhaustive = default, double? oversampling = default, float? weight = default, string base64Image = default);
static member VectorizableImageBinaryQuery : Nullable<int> * string * Nullable<bool> * Nullable<double> * Nullable<single> * string -> Azure.Search.Documents.Models.VectorizableImageBinaryQuery
Public Shared Function VectorizableImageBinaryQuery (Optional kNearestNeighborsCount As Nullable(Of Integer) = Nothing, Optional fieldsRaw As String = Nothing, Optional exhaustive As Nullable(Of Boolean) = Nothing, Optional oversampling As Nullable(Of Double) = Nothing, Optional weight As Nullable(Of Single) = Nothing, Optional base64Image As String = Nothing) As VectorizableImageBinaryQuery

Parameters

kNearestNeighborsCount
Nullable<Int32>

Number of nearest neighbors to return as top hits.

fieldsRaw
String

Vector Fields of type Collection(Edm.Single) to be included in the vector searched.

exhaustive
Nullable<Boolean>

When true, triggers an exhaustive k-nearest neighbor search across all vectors within the vector index. Useful for scenarios where exact matches are critical, such as determining ground truth values.

oversampling
Nullable<Double>

Oversampling factor. Minimum value is 1. It overrides the 'defaultOversampling' parameter configured in the index definition. It can be set only when 'rerankWithOriginalVectors' is true. This parameter is only permitted when a compression method is used on the underlying vector field.

weight
Nullable<Single>

Relative weight of the vector query when compared to other vector query and/or the text query within the same search request. This value is used when combining the results of multiple ranking lists produced by the different vector queries and/or the results retrieved through the text query. The higher the weight, the higher the documents that matched that query will be in the final ranking. Default is 1.0 and the value needs to be a positive number larger than zero.

base64Image
String

The base 64 encoded binary of an image to be vectorized to perform a vector search query.

Returns

VectorizableImageBinaryQuery

A new VectorizableImageBinaryQuery instance for mocking.

Applies to