Package com.google.cloud.aiplatform.v1beta1

Class RagEmbeddingModelConfig.HybridSearchConfig.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>
com.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig.Builder
All Implemented Interfaces:
RagEmbeddingModelConfig.HybridSearchConfigOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
RagEmbeddingModelConfig.HybridSearchConfig
public static final class RagEmbeddingModelConfig.HybridSearchConfig.Builder extends com.google.protobuf.GeneratedMessage.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder> implements RagEmbeddingModelConfig.HybridSearchConfigOrBuilder
 Config for hybrid search.
Protobuf type google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>

    • clear

      public RagEmbeddingModelConfig.HybridSearchConfig.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>

    • getDefaultInstanceForType

      public RagEmbeddingModelConfig.HybridSearchConfig getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public RagEmbeddingModelConfig.HybridSearchConfig build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public RagEmbeddingModelConfig.HybridSearchConfig buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public RagEmbeddingModelConfig.HybridSearchConfig.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>

    • mergeFrom

      public RagEmbeddingModelConfig.HybridSearchConfig.Builder mergeFrom(RagEmbeddingModelConfig.HybridSearchConfig other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>

    • mergeFrom

      public RagEmbeddingModelConfig.HybridSearchConfig.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>
      Throws:
      IOException

    • hasSparseEmbeddingConfig

      public boolean hasSparseEmbeddingConfig()
       Optional. The configuration for sparse embedding generation. This field
 is optional the default behavior depends on the vector database choice on
 the RagCorpus.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig sparse_embedding_config = 1 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      hasSparseEmbeddingConfig in interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilder
      Returns:
      Whether the sparseEmbeddingConfig field is set.

    • getSparseEmbeddingConfig

      public RagEmbeddingModelConfig.SparseEmbeddingConfig getSparseEmbeddingConfig()
       Optional. The configuration for sparse embedding generation. This field
 is optional the default behavior depends on the vector database choice on
 the RagCorpus.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig sparse_embedding_config = 1 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getSparseEmbeddingConfig in interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilder
      Returns:
      The sparseEmbeddingConfig.

    • setSparseEmbeddingConfig

      public RagEmbeddingModelConfig.HybridSearchConfig.Builder setSparseEmbeddingConfig(RagEmbeddingModelConfig.SparseEmbeddingConfig value)
       Optional. The configuration for sparse embedding generation. This field
 is optional the default behavior depends on the vector database choice on
 the RagCorpus.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig sparse_embedding_config = 1 [(.google.api.field_behavior) = OPTIONAL];

    • setSparseEmbeddingConfig

      public RagEmbeddingModelConfig.HybridSearchConfig.Builder setSparseEmbeddingConfig(RagEmbeddingModelConfig.SparseEmbeddingConfig.Builder builderForValue)
       Optional. The configuration for sparse embedding generation. This field
 is optional the default behavior depends on the vector database choice on
 the RagCorpus.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig sparse_embedding_config = 1 [(.google.api.field_behavior) = OPTIONAL];

    • mergeSparseEmbeddingConfig

      public RagEmbeddingModelConfig.HybridSearchConfig.Builder mergeSparseEmbeddingConfig(RagEmbeddingModelConfig.SparseEmbeddingConfig value)
       Optional. The configuration for sparse embedding generation. This field
 is optional the default behavior depends on the vector database choice on
 the RagCorpus.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig sparse_embedding_config = 1 [(.google.api.field_behavior) = OPTIONAL];

    • clearSparseEmbeddingConfig

      public RagEmbeddingModelConfig.HybridSearchConfig.Builder clearSparseEmbeddingConfig()
       Optional. The configuration for sparse embedding generation. This field
 is optional the default behavior depends on the vector database choice on
 the RagCorpus.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig sparse_embedding_config = 1 [(.google.api.field_behavior) = OPTIONAL];

    • getSparseEmbeddingConfigBuilder

      public RagEmbeddingModelConfig.SparseEmbeddingConfig.Builder getSparseEmbeddingConfigBuilder()
       Optional. The configuration for sparse embedding generation. This field
 is optional the default behavior depends on the vector database choice on
 the RagCorpus.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig sparse_embedding_config = 1 [(.google.api.field_behavior) = OPTIONAL];

    • getSparseEmbeddingConfigOrBuilder

      public RagEmbeddingModelConfig.SparseEmbeddingConfigOrBuilder getSparseEmbeddingConfigOrBuilder()
       Optional. The configuration for sparse embedding generation. This field
 is optional the default behavior depends on the vector database choice on
 the RagCorpus.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig sparse_embedding_config = 1 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getSparseEmbeddingConfigOrBuilder in interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilder

    • hasDenseEmbeddingModelPredictionEndpoint

      public boolean hasDenseEmbeddingModelPredictionEndpoint()
       Required. The Vertex AI Prediction Endpoint that hosts the embedding
 model for dense embedding generations.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint dense_embedding_model_prediction_endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      hasDenseEmbeddingModelPredictionEndpoint in interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilder
      Returns:
      Whether the denseEmbeddingModelPredictionEndpoint field is set.

    • getDenseEmbeddingModelPredictionEndpoint

      public RagEmbeddingModelConfig.VertexPredictionEndpoint getDenseEmbeddingModelPredictionEndpoint()
       Required. The Vertex AI Prediction Endpoint that hosts the embedding
 model for dense embedding generations.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint dense_embedding_model_prediction_endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getDenseEmbeddingModelPredictionEndpoint in interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilder
      Returns:
      The denseEmbeddingModelPredictionEndpoint.

    • setDenseEmbeddingModelPredictionEndpoint

      public RagEmbeddingModelConfig.HybridSearchConfig.Builder setDenseEmbeddingModelPredictionEndpoint(RagEmbeddingModelConfig.VertexPredictionEndpoint value)
       Required. The Vertex AI Prediction Endpoint that hosts the embedding
 model for dense embedding generations.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint dense_embedding_model_prediction_endpoint = 2 [(.google.api.field_behavior) = REQUIRED];

    • setDenseEmbeddingModelPredictionEndpoint

      public RagEmbeddingModelConfig.HybridSearchConfig.Builder setDenseEmbeddingModelPredictionEndpoint(RagEmbeddingModelConfig.VertexPredictionEndpoint.Builder builderForValue)
       Required. The Vertex AI Prediction Endpoint that hosts the embedding
 model for dense embedding generations.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint dense_embedding_model_prediction_endpoint = 2 [(.google.api.field_behavior) = REQUIRED];

    • mergeDenseEmbeddingModelPredictionEndpoint

      public RagEmbeddingModelConfig.HybridSearchConfig.Builder mergeDenseEmbeddingModelPredictionEndpoint(RagEmbeddingModelConfig.VertexPredictionEndpoint value)
       Required. The Vertex AI Prediction Endpoint that hosts the embedding
 model for dense embedding generations.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint dense_embedding_model_prediction_endpoint = 2 [(.google.api.field_behavior) = REQUIRED];

    • clearDenseEmbeddingModelPredictionEndpoint

      public RagEmbeddingModelConfig.HybridSearchConfig.Builder clearDenseEmbeddingModelPredictionEndpoint()
       Required. The Vertex AI Prediction Endpoint that hosts the embedding
 model for dense embedding generations.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint dense_embedding_model_prediction_endpoint = 2 [(.google.api.field_behavior) = REQUIRED];

    • getDenseEmbeddingModelPredictionEndpointBuilder

      public RagEmbeddingModelConfig.VertexPredictionEndpoint.Builder getDenseEmbeddingModelPredictionEndpointBuilder()
       Required. The Vertex AI Prediction Endpoint that hosts the embedding
 model for dense embedding generations.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint dense_embedding_model_prediction_endpoint = 2 [(.google.api.field_behavior) = REQUIRED];

    • getDenseEmbeddingModelPredictionEndpointOrBuilder

      public RagEmbeddingModelConfig.VertexPredictionEndpointOrBuilder getDenseEmbeddingModelPredictionEndpointOrBuilder()
       Required. The Vertex AI Prediction Endpoint that hosts the embedding
 model for dense embedding generations.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint dense_embedding_model_prediction_endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getDenseEmbeddingModelPredictionEndpointOrBuilder in interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilder