Class RagRetrievalConfig.Ranking.LlmRanker.Builder (1.43.0)

public static final class RagRetrievalConfig.Ranking.LlmRanker.Builder extends GeneratedMessage.Builder<RagRetrievalConfig.Ranking.LlmRanker.Builder> implements RagRetrievalConfig.Ranking.LlmRankerOrBuilder

Config for LlmRanker.

Protobuf type google.cloud.vertexai.v1.RagRetrievalConfig.Ranking.LlmRanker

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

build()

public RagRetrievalConfig.Ranking.LlmRanker build()
Returns
Type Description
RagRetrievalConfig.Ranking.LlmRanker

buildPartial()

public RagRetrievalConfig.Ranking.LlmRanker buildPartial()
Returns
Type Description
RagRetrievalConfig.Ranking.LlmRanker

clear()

public RagRetrievalConfig.Ranking.LlmRanker.Builder clear()
Returns
Type Description
RagRetrievalConfig.Ranking.LlmRanker.Builder
Overrides

clearModelName()

public RagRetrievalConfig.Ranking.LlmRanker.Builder clearModelName()

Optional. The model name used for ranking. Format: gemini-1.5-pro

optional string model_name = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
RagRetrievalConfig.Ranking.LlmRanker.Builder

This builder for chaining.

getDefaultInstanceForType()

public RagRetrievalConfig.Ranking.LlmRanker getDefaultInstanceForType()
Returns
Type Description
RagRetrievalConfig.Ranking.LlmRanker

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getModelName()

public String getModelName()

Optional. The model name used for ranking. Format: gemini-1.5-pro

optional string model_name = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
String

The modelName.

getModelNameBytes()

public ByteString getModelNameBytes()

Optional. The model name used for ranking. Format: gemini-1.5-pro

optional string model_name = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ByteString

The bytes for modelName.

hasModelName()

public boolean hasModelName()

Optional. The model name used for ranking. Format: gemini-1.5-pro

optional string model_name = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the modelName field is set.

internalGetFieldAccessorTable()

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(RagRetrievalConfig.Ranking.LlmRanker other)

public RagRetrievalConfig.Ranking.LlmRanker.Builder mergeFrom(RagRetrievalConfig.Ranking.LlmRanker other)
Parameter
Name Description
other RagRetrievalConfig.Ranking.LlmRanker
Returns
Type Description
RagRetrievalConfig.Ranking.LlmRanker.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public RagRetrievalConfig.Ranking.LlmRanker.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
RagRetrievalConfig.Ranking.LlmRanker.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public RagRetrievalConfig.Ranking.LlmRanker.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
RagRetrievalConfig.Ranking.LlmRanker.Builder
Overrides

setModelName(String value)

public RagRetrievalConfig.Ranking.LlmRanker.Builder setModelName(String value)

Optional. The model name used for ranking. Format: gemini-1.5-pro

optional string model_name = 1 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value String

The modelName to set.

Returns
Type Description
RagRetrievalConfig.Ranking.LlmRanker.Builder

This builder for chaining.

setModelNameBytes(ByteString value)

public RagRetrievalConfig.Ranking.LlmRanker.Builder setModelNameBytes(ByteString value)

Optional. The model name used for ranking. Format: gemini-1.5-pro

optional string model_name = 1 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value ByteString

The bytes for modelName to set.

Returns
Type Description
RagRetrievalConfig.Ranking.LlmRanker.Builder

This builder for chaining.