Package com.azure.search.documents.indexes.models

Class BinaryQuantizationCompression

java.lang.Object
com.azure.search.documents.indexes.models.VectorSearchCompression
com.azure.search.documents.indexes.models.BinaryQuantizationCompression
All Implemented Interfaces:
com.azure.json.JsonSerializable<VectorSearchCompression>
public final class BinaryQuantizationCompression extends VectorSearchCompression
Contains configuration options specific to the binary quantization compression method used during indexing and querying.

  • Constructor Details

    • BinaryQuantizationCompression

      public BinaryQuantizationCompression(String compressionName)
      Creates an instance of BinaryQuantizationCompression class.
      Parameters:
      compressionName - the compressionName value to set.

  • Method Details

    • getKind

      public VectorSearchCompressionKind getKind()
      Get the kind property: The name of the kind of compression method being configured for use with vector search.
      Overrides:
      getKind in class VectorSearchCompression
      Returns:
      the kind value.

    • setRerankWithOriginalVectors

      public BinaryQuantizationCompression setRerankWithOriginalVectors(Boolean rerankWithOriginalVectors)
      Set the rerankWithOriginalVectors property: 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.
      Overrides:
      setRerankWithOriginalVectors in class VectorSearchCompression
      Parameters:
      rerankWithOriginalVectors - the rerankWithOriginalVectors value to set.
      Returns:
      the VectorSearchCompression object itself.

    • setDefaultOversampling

      public BinaryQuantizationCompression setDefaultOversampling(Double defaultOversampling)
      Set the defaultOversampling property: 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.
      Overrides:
      setDefaultOversampling in class VectorSearchCompression
      Parameters:
      defaultOversampling - the defaultOversampling value to set.
      Returns:
      the VectorSearchCompression object itself.

    • toJson

      public com.azure.json.JsonWriter toJson(com.azure.json.JsonWriter jsonWriter) throws IOException
      Specified by:
      toJson in interface com.azure.json.JsonSerializable<VectorSearchCompression>
      Overrides:
      toJson in class VectorSearchCompression
      Throws:
      IOException

    • fromJson

      public static BinaryQuantizationCompression fromJson(com.azure.json.JsonReader jsonReader) throws IOException
      Reads an instance of BinaryQuantizationCompression from the JsonReader.
      Parameters:
      jsonReader - The JsonReader being read.
      Returns:
      An instance of BinaryQuantizationCompression if the JsonReader was pointing to an instance of it, or null if it was pointing to JSON null.
      Throws:
      IllegalStateException - If the deserialized JSON object was missing any required properties.
      IOException - If an error occurs while reading the BinaryQuantizationCompression.