Class VertexRagStore.Builder (3.56.0)

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public static final class VertexRagStore.Builder extends GeneratedMessageV3.Builder<VertexRagStore.Builder> implements VertexRagStoreOrBuilder

Retrieve from Vertex RAG Store for grounding.

Protobuf type google.cloud.aiplatform.v1.VertexRagStore

Inheritance

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

Implements

VertexRagStoreOrBuilder

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

addAllRagResources(Iterable<? extends VertexRagStore.RagResource> values)

public VertexRagStore.Builder addAllRagResources(Iterable<? extends VertexRagStore.RagResource> values)

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
values	Iterable<? extends com.google.cloud.aiplatform.v1.VertexRagStore.RagResource>

Returns
Type	Description
VertexRagStore.Builder

addRagResources(VertexRagStore.RagResource value)

public VertexRagStore.Builder addRagResources(VertexRagStore.RagResource value)

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	VertexRagStore.RagResource

Returns
Type	Description
VertexRagStore.Builder

addRagResources(VertexRagStore.RagResource.Builder builderForValue)

public VertexRagStore.Builder addRagResources(VertexRagStore.RagResource.Builder builderForValue)

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
builderForValue	VertexRagStore.RagResource.Builder

Returns
Type	Description
VertexRagStore.Builder

addRagResources(int index, VertexRagStore.RagResource value)

public VertexRagStore.Builder addRagResources(int index, VertexRagStore.RagResource value)

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameters
Name	Description
index	int
value	VertexRagStore.RagResource

Returns
Type	Description
VertexRagStore.Builder

addRagResources(int index, VertexRagStore.RagResource.Builder builderForValue)

public VertexRagStore.Builder addRagResources(int index, VertexRagStore.RagResource.Builder builderForValue)

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameters
Name	Description
index	int
builderForValue	VertexRagStore.RagResource.Builder

Returns
Type	Description
VertexRagStore.Builder

addRagResourcesBuilder()

public VertexRagStore.RagResource.Builder addRagResourcesBuilder()

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
VertexRagStore.RagResource.Builder

addRagResourcesBuilder(int index)

public VertexRagStore.RagResource.Builder addRagResourcesBuilder(int index)

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int

Returns
Type	Description
VertexRagStore.RagResource.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
VertexRagStore.Builder

Overrides

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

build()

public VertexRagStore build()

Returns
Type	Description
VertexRagStore

buildPartial()

public VertexRagStore buildPartial()

Returns
Type	Description
VertexRagStore

clear()

public VertexRagStore.Builder clear()

Returns
Type	Description
VertexRagStore.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearField(Descriptors.FieldDescriptor field)

public VertexRagStore.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
VertexRagStore.Builder

Overrides

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

clearOneof(Descriptors.OneofDescriptor oneof)

public VertexRagStore.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
VertexRagStore.Builder

Overrides

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

clearRagResources()

public VertexRagStore.Builder clearRagResources()

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
VertexRagStore.Builder

clearRagRetrievalConfig()

public VertexRagStore.Builder clearRagRetrievalConfig()

Optional. The retrieval config for the Rag query.

.google.cloud.aiplatform.v1.RagRetrievalConfig rag_retrieval_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
VertexRagStore.Builder

clearSimilarityTopK() (deprecated)

public VertexRagStore.Builder clearSimilarityTopK()

Deprecated. google.cloud.aiplatform.v1.VertexRagStore.similarity_top_k is deprecated. See google/cloud/aiplatform/v1/tool.proto;l=173

Optional. Number of top k results to return from the selected corpora.

optional int32 similarity_top_k = 2 [deprecated = true, (.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
VertexRagStore.Builder	This builder for chaining.

clearVectorDistanceThreshold() (deprecated)

public VertexRagStore.Builder clearVectorDistanceThreshold()

Deprecated. google.cloud.aiplatform.v1.VertexRagStore.vector_distance_threshold is deprecated. See google/cloud/aiplatform/v1/tool.proto;l=178

Optional. Only return results with vector distance smaller than the threshold.

optional double vector_distance_threshold = 3 [deprecated = true, (.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
VertexRagStore.Builder	This builder for chaining.

clone()

public VertexRagStore.Builder clone()

Returns
Type	Description
VertexRagStore.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getDefaultInstanceForType()

public VertexRagStore getDefaultInstanceForType()

Returns
Type	Description
VertexRagStore

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getRagResources(int index)

public VertexRagStore.RagResource getRagResources(int index)

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int

Returns
Type	Description
VertexRagStore.RagResource

getRagResourcesBuilder(int index)

public VertexRagStore.RagResource.Builder getRagResourcesBuilder(int index)

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int

Returns
Type	Description
VertexRagStore.RagResource.Builder

getRagResourcesBuilderList()

public List<VertexRagStore.RagResource.Builder> getRagResourcesBuilderList()

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
List<Builder>

getRagResourcesCount()

public int getRagResourcesCount()

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int

getRagResourcesList()

public List<VertexRagStore.RagResource> getRagResourcesList()

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
List<RagResource>

getRagResourcesOrBuilder(int index)

public VertexRagStore.RagResourceOrBuilder getRagResourcesOrBuilder(int index)

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int

Returns
Type	Description
VertexRagStore.RagResourceOrBuilder

getRagResourcesOrBuilderList()

public List<? extends VertexRagStore.RagResourceOrBuilder> getRagResourcesOrBuilderList()

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
List<? extends com.google.cloud.aiplatform.v1.VertexRagStore.RagResourceOrBuilder>

getRagRetrievalConfig()

public RagRetrievalConfig getRagRetrievalConfig()

Optional. The retrieval config for the Rag query.

.google.cloud.aiplatform.v1.RagRetrievalConfig rag_retrieval_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
RagRetrievalConfig	The ragRetrievalConfig.

getRagRetrievalConfigBuilder()

public RagRetrievalConfig.Builder getRagRetrievalConfigBuilder()

Optional. The retrieval config for the Rag query.

.google.cloud.aiplatform.v1.RagRetrievalConfig rag_retrieval_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
RagRetrievalConfig.Builder

getRagRetrievalConfigOrBuilder()

public RagRetrievalConfigOrBuilder getRagRetrievalConfigOrBuilder()

Optional. The retrieval config for the Rag query.

.google.cloud.aiplatform.v1.RagRetrievalConfig rag_retrieval_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
RagRetrievalConfigOrBuilder

getSimilarityTopK() (deprecated)

public int getSimilarityTopK()

Deprecated. google.cloud.aiplatform.v1.VertexRagStore.similarity_top_k is deprecated. See google/cloud/aiplatform/v1/tool.proto;l=173

Optional. Number of top k results to return from the selected corpora.

optional int32 similarity_top_k = 2 [deprecated = true, (.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int	The similarityTopK.

getVectorDistanceThreshold() (deprecated)

public double getVectorDistanceThreshold()

Deprecated. google.cloud.aiplatform.v1.VertexRagStore.vector_distance_threshold is deprecated. See google/cloud/aiplatform/v1/tool.proto;l=178

Optional. Only return results with vector distance smaller than the threshold.

optional double vector_distance_threshold = 3 [deprecated = true, (.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
double	The vectorDistanceThreshold.

hasRagRetrievalConfig()

public boolean hasRagRetrievalConfig()

Optional. The retrieval config for the Rag query.

.google.cloud.aiplatform.v1.RagRetrievalConfig rag_retrieval_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the ragRetrievalConfig field is set.

hasSimilarityTopK() (deprecated)

public boolean hasSimilarityTopK()

Deprecated. google.cloud.aiplatform.v1.VertexRagStore.similarity_top_k is deprecated. See google/cloud/aiplatform/v1/tool.proto;l=173

Optional. Number of top k results to return from the selected corpora.

optional int32 similarity_top_k = 2 [deprecated = true, (.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the similarityTopK field is set.

hasVectorDistanceThreshold() (deprecated)

public boolean hasVectorDistanceThreshold()

Deprecated. google.cloud.aiplatform.v1.VertexRagStore.vector_distance_threshold is deprecated. See google/cloud/aiplatform/v1/tool.proto;l=178

Optional. Only return results with vector distance smaller than the threshold.

optional double vector_distance_threshold = 3 [deprecated = true, (.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the vectorDistanceThreshold 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(VertexRagStore other)

public VertexRagStore.Builder mergeFrom(VertexRagStore other)

Parameter
Name	Description
other	VertexRagStore

Returns
Type	Description
VertexRagStore.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
VertexRagStore.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public VertexRagStore.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
VertexRagStore.Builder

Overrides

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

mergeRagRetrievalConfig(RagRetrievalConfig value)

public VertexRagStore.Builder mergeRagRetrievalConfig(RagRetrievalConfig value)

Optional. The retrieval config for the Rag query.

.google.cloud.aiplatform.v1.RagRetrievalConfig rag_retrieval_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	RagRetrievalConfig

Returns
Type	Description
VertexRagStore.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final VertexRagStore.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
VertexRagStore.Builder

Overrides

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

removeRagResources(int index)

public VertexRagStore.Builder removeRagResources(int index)

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int

Returns
Type	Description
VertexRagStore.Builder

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
VertexRagStore.Builder

Overrides

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

setRagResources(int index, VertexRagStore.RagResource value)

public VertexRagStore.Builder setRagResources(int index, VertexRagStore.RagResource value)

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameters
Name	Description
index	int
value	VertexRagStore.RagResource

Returns
Type	Description
VertexRagStore.Builder

setRagResources(int index, VertexRagStore.RagResource.Builder builderForValue)

public VertexRagStore.Builder setRagResources(int index, VertexRagStore.RagResource.Builder builderForValue)

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

repeated .google.cloud.aiplatform.v1.VertexRagStore.RagResource rag_resources = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameters
Name	Description
index	int
builderForValue	VertexRagStore.RagResource.Builder

Returns
Type	Description
VertexRagStore.Builder

setRagRetrievalConfig(RagRetrievalConfig value)

public VertexRagStore.Builder setRagRetrievalConfig(RagRetrievalConfig value)

Optional. The retrieval config for the Rag query.

.google.cloud.aiplatform.v1.RagRetrievalConfig rag_retrieval_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	RagRetrievalConfig

Returns
Type	Description
VertexRagStore.Builder

setRagRetrievalConfig(RagRetrievalConfig.Builder builderForValue)

public VertexRagStore.Builder setRagRetrievalConfig(RagRetrievalConfig.Builder builderForValue)

Optional. The retrieval config for the Rag query.

.google.cloud.aiplatform.v1.RagRetrievalConfig rag_retrieval_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
builderForValue	RagRetrievalConfig.Builder

Returns
Type	Description
VertexRagStore.Builder

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
VertexRagStore.Builder

Overrides

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

setSimilarityTopK(int value) (deprecated)

public VertexRagStore.Builder setSimilarityTopK(int value)

Deprecated. google.cloud.aiplatform.v1.VertexRagStore.similarity_top_k is deprecated. See google/cloud/aiplatform/v1/tool.proto;l=173

Optional. Number of top k results to return from the selected corpora.

optional int32 similarity_top_k = 2 [deprecated = true, (.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	int The similarityTopK to set.

Returns
Type	Description
VertexRagStore.Builder	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final VertexRagStore.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
VertexRagStore.Builder

Overrides

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

setVectorDistanceThreshold(double value) (deprecated)

public VertexRagStore.Builder setVectorDistanceThreshold(double value)

Deprecated. google.cloud.aiplatform.v1.VertexRagStore.vector_distance_threshold is deprecated. See google/cloud/aiplatform/v1/tool.proto;l=178

Optional. Only return results with vector distance smaller than the threshold.

optional double vector_distance_threshold = 3 [deprecated = true, (.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	double The vectorDistanceThreshold to set.

Returns
Type	Description
VertexRagStore.Builder	This builder for chaining.