Package com.google.cloud.aiplatform.v1beta1

Class RagEmbeddingModelConfig.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<RagEmbeddingModelConfig.Builder>
com.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.Builder
All Implemented Interfaces:
RagEmbeddingModelConfigOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
RagEmbeddingModelConfig
public static final class RagEmbeddingModelConfig.Builder extends com.google.protobuf.GeneratedMessage.Builder<RagEmbeddingModelConfig.Builder> implements RagEmbeddingModelConfigOrBuilder
 Config for the embedding model to use for RAG.
Protobuf type google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig

  • 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.Builder>

    • clear

      public RagEmbeddingModelConfig.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.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.Builder>

    • getDefaultInstanceForType

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

    • build

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

    • buildPartial

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

    • mergeFrom

      public RagEmbeddingModelConfig.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.Builder>

    • mergeFrom

      public RagEmbeddingModelConfig.Builder mergeFrom(RagEmbeddingModelConfig 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.Builder>

    • mergeFrom

      public RagEmbeddingModelConfig.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.Builder>
      Throws:
      IOException

    • getModelConfigCase

      public RagEmbeddingModelConfig.ModelConfigCase getModelConfigCase()
      Specified by:
      getModelConfigCase in interface RagEmbeddingModelConfigOrBuilder

    • clearModelConfig

      public RagEmbeddingModelConfig.Builder clearModelConfig()

    • hasVertexPredictionEndpoint

      public boolean hasVertexPredictionEndpoint()
       The Vertex AI Prediction Endpoint that either refers to a publisher model
 or an endpoint that is hosting a 1P fine-tuned text embedding model.
 Endpoints hosting non-1P fine-tuned text embedding models are
 currently not supported.
 This is used for dense vector search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint vertex_prediction_endpoint = 1;
      Specified by:
      hasVertexPredictionEndpoint in interface RagEmbeddingModelConfigOrBuilder
      Returns:
      Whether the vertexPredictionEndpoint field is set.

    • getVertexPredictionEndpoint

      public RagEmbeddingModelConfig.VertexPredictionEndpoint getVertexPredictionEndpoint()
       The Vertex AI Prediction Endpoint that either refers to a publisher model
 or an endpoint that is hosting a 1P fine-tuned text embedding model.
 Endpoints hosting non-1P fine-tuned text embedding models are
 currently not supported.
 This is used for dense vector search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint vertex_prediction_endpoint = 1;
      Specified by:
      getVertexPredictionEndpoint in interface RagEmbeddingModelConfigOrBuilder
      Returns:
      The vertexPredictionEndpoint.

    • setVertexPredictionEndpoint

      public RagEmbeddingModelConfig.Builder setVertexPredictionEndpoint(RagEmbeddingModelConfig.VertexPredictionEndpoint value)
       The Vertex AI Prediction Endpoint that either refers to a publisher model
 or an endpoint that is hosting a 1P fine-tuned text embedding model.
 Endpoints hosting non-1P fine-tuned text embedding models are
 currently not supported.
 This is used for dense vector search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint vertex_prediction_endpoint = 1;

    • setVertexPredictionEndpoint

      public RagEmbeddingModelConfig.Builder setVertexPredictionEndpoint(RagEmbeddingModelConfig.VertexPredictionEndpoint.Builder builderForValue)
       The Vertex AI Prediction Endpoint that either refers to a publisher model
 or an endpoint that is hosting a 1P fine-tuned text embedding model.
 Endpoints hosting non-1P fine-tuned text embedding models are
 currently not supported.
 This is used for dense vector search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint vertex_prediction_endpoint = 1;

    • mergeVertexPredictionEndpoint

      public RagEmbeddingModelConfig.Builder mergeVertexPredictionEndpoint(RagEmbeddingModelConfig.VertexPredictionEndpoint value)
       The Vertex AI Prediction Endpoint that either refers to a publisher model
 or an endpoint that is hosting a 1P fine-tuned text embedding model.
 Endpoints hosting non-1P fine-tuned text embedding models are
 currently not supported.
 This is used for dense vector search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint vertex_prediction_endpoint = 1;

    • clearVertexPredictionEndpoint

      public RagEmbeddingModelConfig.Builder clearVertexPredictionEndpoint()
       The Vertex AI Prediction Endpoint that either refers to a publisher model
 or an endpoint that is hosting a 1P fine-tuned text embedding model.
 Endpoints hosting non-1P fine-tuned text embedding models are
 currently not supported.
 This is used for dense vector search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint vertex_prediction_endpoint = 1;

    • getVertexPredictionEndpointBuilder

      public RagEmbeddingModelConfig.VertexPredictionEndpoint.Builder getVertexPredictionEndpointBuilder()
       The Vertex AI Prediction Endpoint that either refers to a publisher model
 or an endpoint that is hosting a 1P fine-tuned text embedding model.
 Endpoints hosting non-1P fine-tuned text embedding models are
 currently not supported.
 This is used for dense vector search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint vertex_prediction_endpoint = 1;

    • getVertexPredictionEndpointOrBuilder

      public RagEmbeddingModelConfig.VertexPredictionEndpointOrBuilder getVertexPredictionEndpointOrBuilder()
       The Vertex AI Prediction Endpoint that either refers to a publisher model
 or an endpoint that is hosting a 1P fine-tuned text embedding model.
 Endpoints hosting non-1P fine-tuned text embedding models are
 currently not supported.
 This is used for dense vector search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint vertex_prediction_endpoint = 1;
      Specified by:
      getVertexPredictionEndpointOrBuilder in interface RagEmbeddingModelConfigOrBuilder

    • hasHybridSearchConfig

      public boolean hasHybridSearchConfig()
       Configuration for hybrid search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;
      Specified by:
      hasHybridSearchConfig in interface RagEmbeddingModelConfigOrBuilder
      Returns:
      Whether the hybridSearchConfig field is set.

    • getHybridSearchConfig

      public RagEmbeddingModelConfig.HybridSearchConfig getHybridSearchConfig()
       Configuration for hybrid search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;
      Specified by:
      getHybridSearchConfig in interface RagEmbeddingModelConfigOrBuilder
      Returns:
      The hybridSearchConfig.

    • setHybridSearchConfig

      public RagEmbeddingModelConfig.Builder setHybridSearchConfig(RagEmbeddingModelConfig.HybridSearchConfig value)
       Configuration for hybrid search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;

    • setHybridSearchConfig

      public RagEmbeddingModelConfig.Builder setHybridSearchConfig(RagEmbeddingModelConfig.HybridSearchConfig.Builder builderForValue)
       Configuration for hybrid search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;

    • mergeHybridSearchConfig

      public RagEmbeddingModelConfig.Builder mergeHybridSearchConfig(RagEmbeddingModelConfig.HybridSearchConfig value)
       Configuration for hybrid search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;

    • clearHybridSearchConfig

      public RagEmbeddingModelConfig.Builder clearHybridSearchConfig()
       Configuration for hybrid search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;

    • getHybridSearchConfigBuilder

      public RagEmbeddingModelConfig.HybridSearchConfig.Builder getHybridSearchConfigBuilder()
       Configuration for hybrid search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;

    • getHybridSearchConfigOrBuilder

      public RagEmbeddingModelConfig.HybridSearchConfigOrBuilder getHybridSearchConfigOrBuilder()
       Configuration for hybrid search.
      .google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;
      Specified by:
      getHybridSearchConfigOrBuilder in interface RagEmbeddingModelConfigOrBuilder