Package com.google.cloud.aiplatform.v1

Interface RagRetrievalConfig.Ranking.LlmRankerOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
RagRetrievalConfig.Ranking.LlmRanker, RagRetrievalConfig.Ranking.LlmRanker.Builder
Enclosing class:
RagRetrievalConfig.Ranking
public static interface RagRetrievalConfig.Ranking.LlmRankerOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    String
    getModelName()
    Optional.
    com.google.protobuf.ByteString
    getModelNameBytes()
    Optional.
    boolean
    hasModelName()
    Optional.

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • hasModelName

      boolean hasModelName()
       Optional. The model name used for ranking.
 Format: `gemini-1.5-pro`
      optional string model_name = 1 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      Whether the modelName field is set.

    • getModelName

      String getModelName()
       Optional. The model name used for ranking.
 Format: `gemini-1.5-pro`
      optional string model_name = 1 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The modelName.

    • getModelNameBytes

      com.google.protobuf.ByteString getModelNameBytes()
       Optional. The model name used for ranking.
 Format: `gemini-1.5-pro`
      optional string model_name = 1 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The bytes for modelName.