public static final class RagEmbeddingModelConfig.HybridSearchConfig.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder> implements RagEmbeddingModelConfig.HybridSearchConfigOrBuilder
Config for hybrid search.Protobuf type
google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfiggetAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>public RagEmbeddingModelConfig.HybridSearchConfig.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>public RagEmbeddingModelConfig.HybridSearchConfig getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic RagEmbeddingModelConfig.HybridSearchConfig build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic RagEmbeddingModelConfig.HybridSearchConfig buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic RagEmbeddingModelConfig.HybridSearchConfig.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>public RagEmbeddingModelConfig.HybridSearchConfig.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>public RagEmbeddingModelConfig.HybridSearchConfig.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>public RagEmbeddingModelConfig.HybridSearchConfig.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>public RagEmbeddingModelConfig.HybridSearchConfig.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>public RagEmbeddingModelConfig.HybridSearchConfig.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>public RagEmbeddingModelConfig.HybridSearchConfig.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>public RagEmbeddingModelConfig.HybridSearchConfig.Builder mergeFrom(RagEmbeddingModelConfig.HybridSearchConfig other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>public RagEmbeddingModelConfig.HybridSearchConfig.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>IOExceptionpublic 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];
hasSparseEmbeddingConfig in interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilderpublic 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];
getSparseEmbeddingConfig in interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilderpublic 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];
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];
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];
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];
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];
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];
getSparseEmbeddingConfigOrBuilder in interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilderpublic 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];
hasDenseEmbeddingModelPredictionEndpoint in interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilderpublic 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];
getDenseEmbeddingModelPredictionEndpoint in interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilderpublic 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];
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];
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];
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];
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];
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];
getDenseEmbeddingModelPredictionEndpointOrBuilder in interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilderpublic final RagEmbeddingModelConfig.HybridSearchConfig.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>public final RagEmbeddingModelConfig.HybridSearchConfig.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder>Copyright © 2024 Google LLC. All rights reserved.