Class RagEmbeddingModelConfig.HybridSearchConfig.Builder (3.56.0)

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)