Class RagEmbeddingModelConfig.Builder (3.52.0)

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

Config for the embedding model to use for RAG.

Protobuf type google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig

Inheritance

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

Implements

RagEmbeddingModelConfigOrBuilder

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.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
RagEmbeddingModelConfig.Builder

Overrides

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

build()

public RagEmbeddingModelConfig build()

Returns
Type	Description
RagEmbeddingModelConfig

buildPartial()

public RagEmbeddingModelConfig buildPartial()

Returns
Type	Description
RagEmbeddingModelConfig

clear()

public RagEmbeddingModelConfig.Builder clear()

Returns
Type	Description
RagEmbeddingModelConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearField(Descriptors.FieldDescriptor field)

public RagEmbeddingModelConfig.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
RagEmbeddingModelConfig.Builder

Overrides

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

clearHybridSearchConfig()

public RagEmbeddingModelConfig.Builder clearHybridSearchConfig()

Configuration for hybrid search.

.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;

Returns
Type	Description
RagEmbeddingModelConfig.Builder

clearModelConfig()

public RagEmbeddingModelConfig.Builder clearModelConfig()

Returns
Type	Description
RagEmbeddingModelConfig.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public RagEmbeddingModelConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
RagEmbeddingModelConfig.Builder

Overrides

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

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;

Returns
Type	Description
RagEmbeddingModelConfig.Builder

clone()

public RagEmbeddingModelConfig.Builder clone()

Returns
Type	Description
RagEmbeddingModelConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getDefaultInstanceForType()

public RagEmbeddingModelConfig getDefaultInstanceForType()

Returns
Type	Description
RagEmbeddingModelConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getHybridSearchConfig()

public RagEmbeddingModelConfig.HybridSearchConfig getHybridSearchConfig()

Configuration for hybrid search.

.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig	The hybridSearchConfig.

getHybridSearchConfigBuilder()

public RagEmbeddingModelConfig.HybridSearchConfig.Builder getHybridSearchConfigBuilder()

Configuration for hybrid search.

.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfig.Builder

getHybridSearchConfigOrBuilder()

public RagEmbeddingModelConfig.HybridSearchConfigOrBuilder getHybridSearchConfigOrBuilder()

Configuration for hybrid search.

.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;

Returns
Type	Description
RagEmbeddingModelConfig.HybridSearchConfigOrBuilder

getModelConfigCase()

public RagEmbeddingModelConfig.ModelConfigCase getModelConfigCase()

Returns
Type	Description
RagEmbeddingModelConfig.ModelConfigCase

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;

Returns
Type	Description
RagEmbeddingModelConfig.VertexPredictionEndpoint	The vertexPredictionEndpoint.

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;

Returns
Type	Description
RagEmbeddingModelConfig.VertexPredictionEndpoint.Builder

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;

Returns
Type	Description
RagEmbeddingModelConfig.VertexPredictionEndpointOrBuilder

hasHybridSearchConfig()

public boolean hasHybridSearchConfig()

Configuration for hybrid search.

.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;

Returns
Type	Description
boolean	Whether the hybridSearchConfig field is set.

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;

Returns
Type	Description
boolean	Whether the vertexPredictionEndpoint 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()

mergeFrom(RagEmbeddingModelConfig other)

public RagEmbeddingModelConfig.Builder mergeFrom(RagEmbeddingModelConfig other)

Parameter
Name	Description
other	RagEmbeddingModelConfig

Returns
Type	Description
RagEmbeddingModelConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
RagEmbeddingModelConfig.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public RagEmbeddingModelConfig.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
RagEmbeddingModelConfig.Builder

Overrides

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

mergeHybridSearchConfig(RagEmbeddingModelConfig.HybridSearchConfig value)

public RagEmbeddingModelConfig.Builder mergeHybridSearchConfig(RagEmbeddingModelConfig.HybridSearchConfig value)

Configuration for hybrid search.

.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;

Parameter
Name	Description
value	RagEmbeddingModelConfig.HybridSearchConfig

Returns
Type	Description
RagEmbeddingModelConfig.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final RagEmbeddingModelConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
RagEmbeddingModelConfig.Builder

Overrides

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

mergeVertexPredictionEndpoint(RagEmbeddingModelConfig.VertexPredictionEndpoint value)

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;

Parameter
Name	Description
value	RagEmbeddingModelConfig.VertexPredictionEndpoint

Returns
Type	Description
RagEmbeddingModelConfig.Builder

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
RagEmbeddingModelConfig.Builder

Overrides

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

setHybridSearchConfig(RagEmbeddingModelConfig.HybridSearchConfig value)

public RagEmbeddingModelConfig.Builder setHybridSearchConfig(RagEmbeddingModelConfig.HybridSearchConfig value)

Configuration for hybrid search.

.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;

Parameter
Name	Description
value	RagEmbeddingModelConfig.HybridSearchConfig

Returns
Type	Description
RagEmbeddingModelConfig.Builder

setHybridSearchConfig(RagEmbeddingModelConfig.HybridSearchConfig.Builder builderForValue)

public RagEmbeddingModelConfig.Builder setHybridSearchConfig(RagEmbeddingModelConfig.HybridSearchConfig.Builder builderForValue)

Configuration for hybrid search.

.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig hybrid_search_config = 2;

Parameter
Name	Description
builderForValue	RagEmbeddingModelConfig.HybridSearchConfig.Builder

Returns
Type	Description
RagEmbeddingModelConfig.Builder

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
RagEmbeddingModelConfig.Builder

Overrides

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

setUnknownFields(UnknownFieldSet unknownFields)

public final RagEmbeddingModelConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
RagEmbeddingModelConfig.Builder

Overrides

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

setVertexPredictionEndpoint(RagEmbeddingModelConfig.VertexPredictionEndpoint value)

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;

Parameter
Name	Description
value	RagEmbeddingModelConfig.VertexPredictionEndpoint

Returns
Type	Description
RagEmbeddingModelConfig.Builder

setVertexPredictionEndpoint(RagEmbeddingModelConfig.VertexPredictionEndpoint.Builder builderForValue)

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;

Parameter
Name	Description
builderForValue	RagEmbeddingModelConfig.VertexPredictionEndpoint.Builder

Returns
Type	Description
RagEmbeddingModelConfig.Builder