Class RagEmbeddingModelConfig.HybridSearchConfig.Builder (3.58.0)

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public static final class RagEmbeddingModelConfig.HybridSearchConfig.Builder extends GeneratedMessageV3.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder> implements RagEmbeddingModelConfig.HybridSearchConfigOrBuilder

Config for hybrid search.

Protobuf type google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > RagEmbeddingModelConfig.HybridSearchConfig.Builder

Implements

RagEmbeddingModelConfig.HybridSearchConfigOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public RagEmbeddingModelConfig.HybridSearchConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public RagEmbeddingModelConfig.HybridSearchConfig build()

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig

buildPartial()

public RagEmbeddingModelConfig.HybridSearchConfig buildPartial()

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig

clear()

public RagEmbeddingModelConfig.HybridSearchConfig.Builder clear()

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

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];

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

clearField(Descriptors.FieldDescriptor field)

public RagEmbeddingModelConfig.HybridSearchConfig.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearOneof(Descriptors.OneofDescriptor oneof)

public RagEmbeddingModelConfig.HybridSearchConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

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];

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

clone()

public RagEmbeddingModelConfig.HybridSearchConfig.Builder clone()

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getDefaultInstanceForType()

public RagEmbeddingModelConfig.HybridSearchConfig getDefaultInstanceForType()

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig

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];

Returns
Type	Description
RagEmbeddingModelConfig.VertexPredictionEndpoint	The denseEmbeddingModelPredictionEndpoint.

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];

Returns
Type	Description
RagEmbeddingModelConfig.VertexPredictionEndpoint.Builder

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];

Returns
Type	Description
RagEmbeddingModelConfig.VertexPredictionEndpointOrBuilder

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

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];

Returns
Type	Description
RagEmbeddingModelConfig.SparseEmbeddingConfig	The sparseEmbeddingConfig.

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];

Returns
Type	Description
RagEmbeddingModelConfig.SparseEmbeddingConfig.Builder

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];

Returns
Type	Description
RagEmbeddingModelConfig.SparseEmbeddingConfigOrBuilder

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];

Returns
Type	Description
boolean	Whether the denseEmbeddingModelPredictionEndpoint field is set.

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];

Returns
Type	Description
boolean	Whether the sparseEmbeddingConfig field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeDenseEmbeddingModelPredictionEndpoint(RagEmbeddingModelConfig.VertexPredictionEndpoint value)

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];

Parameter
Name	Description
value	RagEmbeddingModelConfig.VertexPredictionEndpoint

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

mergeFrom(RagEmbeddingModelConfig.HybridSearchConfig other)

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

Parameter
Name	Description
other	RagEmbeddingModelConfig.HybridSearchConfig

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public RagEmbeddingModelConfig.HybridSearchConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public RagEmbeddingModelConfig.HybridSearchConfig.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeSparseEmbeddingConfig(RagEmbeddingModelConfig.SparseEmbeddingConfig value)

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];

Parameter
Name	Description
value	RagEmbeddingModelConfig.SparseEmbeddingConfig

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final RagEmbeddingModelConfig.HybridSearchConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

setDenseEmbeddingModelPredictionEndpoint(RagEmbeddingModelConfig.VertexPredictionEndpoint value)

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];

Parameter
Name	Description
value	RagEmbeddingModelConfig.VertexPredictionEndpoint

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

setDenseEmbeddingModelPredictionEndpoint(RagEmbeddingModelConfig.VertexPredictionEndpoint.Builder builderForValue)

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];

Parameter
Name	Description
builderForValue	RagEmbeddingModelConfig.VertexPredictionEndpoint.Builder

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public RagEmbeddingModelConfig.HybridSearchConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public RagEmbeddingModelConfig.HybridSearchConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setSparseEmbeddingConfig(RagEmbeddingModelConfig.SparseEmbeddingConfig value)

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];

Parameter
Name	Description
value	RagEmbeddingModelConfig.SparseEmbeddingConfig

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

setSparseEmbeddingConfig(RagEmbeddingModelConfig.SparseEmbeddingConfig.Builder builderForValue)

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];

Parameter
Name	Description
builderForValue	RagEmbeddingModelConfig.SparseEmbeddingConfig.Builder

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final RagEmbeddingModelConfig.HybridSearchConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)