Class VertexAISearch.Builder (3.68.0)

public static final class VertexAISearch.Builder extends GeneratedMessageV3.Builder<VertexAISearch.Builder> implements VertexAISearchOrBuilder

Retrieve from Vertex AI Search datastore or engine for grounding. datastore and engine are mutually exclusive. See https://cloud.google.com/products/agent-builder

Protobuf type google.cloud.aiplatform.v1.VertexAISearch

Static Methods

getDescriptor()

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

Methods

addAllDataStoreSpecs(Iterable<? extends VertexAISearch.DataStoreSpec> values)

public VertexAISearch.Builder addAllDataStoreSpecs(Iterable<? extends VertexAISearch.DataStoreSpec> values)

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Parameter
Name Description
values Iterable<? extends com.google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec>
Returns
Type Description
VertexAISearch.Builder

addDataStoreSpecs(VertexAISearch.DataStoreSpec value)

public VertexAISearch.Builder addDataStoreSpecs(VertexAISearch.DataStoreSpec value)

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Parameter
Name Description
value VertexAISearch.DataStoreSpec
Returns
Type Description
VertexAISearch.Builder

addDataStoreSpecs(VertexAISearch.DataStoreSpec.Builder builderForValue)

public VertexAISearch.Builder addDataStoreSpecs(VertexAISearch.DataStoreSpec.Builder builderForValue)

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Parameter
Name Description
builderForValue VertexAISearch.DataStoreSpec.Builder
Returns
Type Description
VertexAISearch.Builder

addDataStoreSpecs(int index, VertexAISearch.DataStoreSpec value)

public VertexAISearch.Builder addDataStoreSpecs(int index, VertexAISearch.DataStoreSpec value)

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Parameters
Name Description
index int
value VertexAISearch.DataStoreSpec
Returns
Type Description
VertexAISearch.Builder

addDataStoreSpecs(int index, VertexAISearch.DataStoreSpec.Builder builderForValue)

public VertexAISearch.Builder addDataStoreSpecs(int index, VertexAISearch.DataStoreSpec.Builder builderForValue)

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Parameters
Name Description
index int
builderForValue VertexAISearch.DataStoreSpec.Builder
Returns
Type Description
VertexAISearch.Builder

addDataStoreSpecsBuilder()

public VertexAISearch.DataStoreSpec.Builder addDataStoreSpecsBuilder()

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Returns
Type Description
VertexAISearch.DataStoreSpec.Builder

addDataStoreSpecsBuilder(int index)

public VertexAISearch.DataStoreSpec.Builder addDataStoreSpecsBuilder(int index)

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Parameter
Name Description
index int
Returns
Type Description
VertexAISearch.DataStoreSpec.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public VertexAISearch.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
VertexAISearch.Builder
Overrides

build()

public VertexAISearch build()
Returns
Type Description
VertexAISearch

buildPartial()

public VertexAISearch buildPartial()
Returns
Type Description
VertexAISearch

clear()

public VertexAISearch.Builder clear()
Returns
Type Description
VertexAISearch.Builder
Overrides

clearDataStoreSpecs()

public VertexAISearch.Builder clearDataStoreSpecs()

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Returns
Type Description
VertexAISearch.Builder

clearDatastore()

public VertexAISearch.Builder clearDatastore()

Optional. Fully-qualified Vertex AI Search data store resource ID. Format: projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}

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

Returns
Type Description
VertexAISearch.Builder

This builder for chaining.

clearEngine()

public VertexAISearch.Builder clearEngine()

Optional. Fully-qualified Vertex AI Search engine resource ID. Format: projects/{project}/locations/{location}/collections/{collection}/engines/{engine}

string engine = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
VertexAISearch.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public VertexAISearch.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
VertexAISearch.Builder
Overrides

clearFilter()

public VertexAISearch.Builder clearFilter()

Optional. Filter strings to be passed to the search API.

string filter = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
VertexAISearch.Builder

This builder for chaining.

clearMaxResults()

public VertexAISearch.Builder clearMaxResults()

Optional. Number of search results to return per query. The default value is 10. The maximumm allowed value is 10.

int32 max_results = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
VertexAISearch.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public VertexAISearch.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
VertexAISearch.Builder
Overrides

clone()

public VertexAISearch.Builder clone()
Returns
Type Description
VertexAISearch.Builder
Overrides

getDataStoreSpecs(int index)

public VertexAISearch.DataStoreSpec getDataStoreSpecs(int index)

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Parameter
Name Description
index int
Returns
Type Description
VertexAISearch.DataStoreSpec

getDataStoreSpecsBuilder(int index)

public VertexAISearch.DataStoreSpec.Builder getDataStoreSpecsBuilder(int index)

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Parameter
Name Description
index int
Returns
Type Description
VertexAISearch.DataStoreSpec.Builder

getDataStoreSpecsBuilderList()

public List<VertexAISearch.DataStoreSpec.Builder> getDataStoreSpecsBuilderList()

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Returns
Type Description
List<Builder>

getDataStoreSpecsCount()

public int getDataStoreSpecsCount()

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Returns
Type Description
int

getDataStoreSpecsList()

public List<VertexAISearch.DataStoreSpec> getDataStoreSpecsList()

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Returns
Type Description
List<DataStoreSpec>

getDataStoreSpecsOrBuilder(int index)

public VertexAISearch.DataStoreSpecOrBuilder getDataStoreSpecsOrBuilder(int index)

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Parameter
Name Description
index int
Returns
Type Description
VertexAISearch.DataStoreSpecOrBuilder

getDataStoreSpecsOrBuilderList()

public List<? extends VertexAISearch.DataStoreSpecOrBuilder> getDataStoreSpecsOrBuilderList()

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Returns
Type Description
List<? extends com.google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpecOrBuilder>

getDatastore()

public String getDatastore()

Optional. Fully-qualified Vertex AI Search data store resource ID. Format: projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}

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

Returns
Type Description
String

The datastore.

getDatastoreBytes()

public ByteString getDatastoreBytes()

Optional. Fully-qualified Vertex AI Search data store resource ID. Format: projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}

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

Returns
Type Description
ByteString

The bytes for datastore.

getDefaultInstanceForType()

public VertexAISearch getDefaultInstanceForType()
Returns
Type Description
VertexAISearch

getDescriptorForType()

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

getEngine()

public String getEngine()

Optional. Fully-qualified Vertex AI Search engine resource ID. Format: projects/{project}/locations/{location}/collections/{collection}/engines/{engine}

string engine = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
String

The engine.

getEngineBytes()

public ByteString getEngineBytes()

Optional. Fully-qualified Vertex AI Search engine resource ID. Format: projects/{project}/locations/{location}/collections/{collection}/engines/{engine}

string engine = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ByteString

The bytes for engine.

getFilter()

public String getFilter()

Optional. Filter strings to be passed to the search API.

string filter = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
String

The filter.

getFilterBytes()

public ByteString getFilterBytes()

Optional. Filter strings to be passed to the search API.

string filter = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ByteString

The bytes for filter.

getMaxResults()

public int getMaxResults()

Optional. Number of search results to return per query. The default value is 10. The maximumm allowed value is 10.

int32 max_results = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

The maxResults.

internalGetFieldAccessorTable()

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

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(VertexAISearch other)

public VertexAISearch.Builder mergeFrom(VertexAISearch other)
Parameter
Name Description
other VertexAISearch
Returns
Type Description
VertexAISearch.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

mergeFrom(Message other)

public VertexAISearch.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
VertexAISearch.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final VertexAISearch.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
VertexAISearch.Builder
Overrides

removeDataStoreSpecs(int index)

public VertexAISearch.Builder removeDataStoreSpecs(int index)

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Parameter
Name Description
index int
Returns
Type Description
VertexAISearch.Builder

setDataStoreSpecs(int index, VertexAISearch.DataStoreSpec value)

public VertexAISearch.Builder setDataStoreSpecs(int index, VertexAISearch.DataStoreSpec value)

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Parameters
Name Description
index int
value VertexAISearch.DataStoreSpec
Returns
Type Description
VertexAISearch.Builder

setDataStoreSpecs(int index, VertexAISearch.DataStoreSpec.Builder builderForValue)

public VertexAISearch.Builder setDataStoreSpecs(int index, VertexAISearch.DataStoreSpec.Builder builderForValue)

Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. It should only be set if engine is used.

repeated .google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec data_store_specs = 5;

Parameters
Name Description
index int
builderForValue VertexAISearch.DataStoreSpec.Builder
Returns
Type Description
VertexAISearch.Builder

setDatastore(String value)

public VertexAISearch.Builder setDatastore(String value)

Optional. Fully-qualified Vertex AI Search data store resource ID. Format: projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}

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

Parameter
Name Description
value String

The datastore to set.

Returns
Type Description
VertexAISearch.Builder

This builder for chaining.

setDatastoreBytes(ByteString value)

public VertexAISearch.Builder setDatastoreBytes(ByteString value)

Optional. Fully-qualified Vertex AI Search data store resource ID. Format: projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}

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

Parameter
Name Description
value ByteString

The bytes for datastore to set.

Returns
Type Description
VertexAISearch.Builder

This builder for chaining.

setEngine(String value)

public VertexAISearch.Builder setEngine(String value)

Optional. Fully-qualified Vertex AI Search engine resource ID. Format: projects/{project}/locations/{location}/collections/{collection}/engines/{engine}

string engine = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value String

The engine to set.

Returns
Type Description
VertexAISearch.Builder

This builder for chaining.

setEngineBytes(ByteString value)

public VertexAISearch.Builder setEngineBytes(ByteString value)

Optional. Fully-qualified Vertex AI Search engine resource ID. Format: projects/{project}/locations/{location}/collections/{collection}/engines/{engine}

string engine = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value ByteString

The bytes for engine to set.

Returns
Type Description
VertexAISearch.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public VertexAISearch.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
VertexAISearch.Builder
Overrides

setFilter(String value)

public VertexAISearch.Builder setFilter(String value)

Optional. Filter strings to be passed to the search API.

string filter = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value String

The filter to set.

Returns
Type Description
VertexAISearch.Builder

This builder for chaining.

setFilterBytes(ByteString value)

public VertexAISearch.Builder setFilterBytes(ByteString value)

Optional. Filter strings to be passed to the search API.

string filter = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value ByteString

The bytes for filter to set.

Returns
Type Description
VertexAISearch.Builder

This builder for chaining.

setMaxResults(int value)

public VertexAISearch.Builder setMaxResults(int value)

Optional. Number of search results to return per query. The default value is 10. The maximumm allowed value is 10.

int32 max_results = 3 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value int

The maxResults to set.

Returns
Type Description
VertexAISearch.Builder

This builder for chaining.

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

public VertexAISearch.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
VertexAISearch.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final VertexAISearch.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
VertexAISearch.Builder
Overrides