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public static final class RagEmbeddingModelConfig.HybridSearchConfig.Builder extends GeneratedMessage.Builder<RagEmbeddingModelConfig.HybridSearchConfig.Builder> implements RagEmbeddingModelConfig.HybridSearchConfigOrBuilderConfig for hybrid search.
Protobuf type
google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.HybridSearchConfig
Inheritance
java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > RagEmbeddingModelConfig.HybridSearchConfig.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
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 |
|
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 |
|
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 |
|
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 |
|
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 GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
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 |
|
| 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 |
|
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 |
|
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 |
|
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 |
|