Class RagEmbeddingModelConfig.HybridSearchConfig (3.59.0)

public static final class RagEmbeddingModelConfig.HybridSearchConfig extends GeneratedMessageV3 implements RagEmbeddingModelConfig.HybridSearchConfigOrBuilder

Config for hybrid search.

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

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > RagEmbeddingModelConfig.HybridSearchConfig
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)
com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)

Static Fields

DENSE_EMBEDDING_MODEL_PREDICTION_ENDPOINT_FIELD_NUMBER

public static final int DENSE_EMBEDDING_MODEL_PREDICTION_ENDPOINT_FIELD_NUMBER
Field Value
Type Description
int

SPARSE_EMBEDDING_CONFIG_FIELD_NUMBER

public static final int SPARSE_EMBEDDING_CONFIG_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static RagEmbeddingModelConfig.HybridSearchConfig getDefaultInstance()

getDescriptor()

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

newBuilder()

public static RagEmbeddingModelConfig.HybridSearchConfig.Builder newBuilder()

newBuilder(RagEmbeddingModelConfig.HybridSearchConfig prototype)

public static RagEmbeddingModelConfig.HybridSearchConfig.Builder newBuilder(RagEmbeddingModelConfig.HybridSearchConfig prototype)
Parameter
Name Description
prototype RagEmbeddingModelConfig.HybridSearchConfig

parseDelimitedFrom(InputStream input)

public static RagEmbeddingModelConfig.HybridSearchConfig parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static RagEmbeddingModelConfig.HybridSearchConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static RagEmbeddingModelConfig.HybridSearchConfig parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static RagEmbeddingModelConfig.HybridSearchConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static RagEmbeddingModelConfig.HybridSearchConfig parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static RagEmbeddingModelConfig.HybridSearchConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static RagEmbeddingModelConfig.HybridSearchConfig parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static RagEmbeddingModelConfig.HybridSearchConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static RagEmbeddingModelConfig.HybridSearchConfig parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static RagEmbeddingModelConfig.HybridSearchConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static RagEmbeddingModelConfig.HybridSearchConfig parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static RagEmbeddingModelConfig.HybridSearchConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<RagEmbeddingModelConfig.HybridSearchConfig> parser()
Returns
Type Description
Parser<HybridSearchConfig>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

getDefaultInstanceForType()

public RagEmbeddingModelConfig.HybridSearchConfig getDefaultInstanceForType()

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.

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];

getParserForType()

public Parser<RagEmbeddingModelConfig.HybridSearchConfig> getParserForType()
Returns
Type Description
Parser<HybridSearchConfig>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

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.

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];

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.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public RagEmbeddingModelConfig.HybridSearchConfig.Builder newBuilderForType()

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected RagEmbeddingModelConfig.HybridSearchConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public RagEmbeddingModelConfig.HybridSearchConfig.Builder toBuilder()

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException