public static interface StreamAssistRequest.ToolsSpec.VertexAiSearchSpecOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
SearchRequest.DataStoreSpec |
getDataStoreSpecs(int index)
Optional.
|
int |
getDataStoreSpecsCount()
Optional.
|
List<SearchRequest.DataStoreSpec> |
getDataStoreSpecsList()
Optional.
|
SearchRequest.DataStoreSpecOrBuilder |
getDataStoreSpecsOrBuilder(int index)
Optional.
|
List<? extends SearchRequest.DataStoreSpecOrBuilder> |
getDataStoreSpecsOrBuilderList()
Optional.
|
String |
getFilter()
Optional.
|
com.google.protobuf.ByteString |
getFilterBytes()
Optional.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofList<SearchRequest.DataStoreSpec> getDataStoreSpecsList()
Optional. Specs defining [DataStore][google.cloud.discoveryengine.v1.DataStore]s to filter on in a search call and configurations for those data stores. This is only considered for [Engine][google.cloud.discoveryengine.v1.Engine]s with multiple data stores.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 2 [(.google.api.field_behavior) = OPTIONAL];
SearchRequest.DataStoreSpec getDataStoreSpecs(int index)
Optional. Specs defining [DataStore][google.cloud.discoveryengine.v1.DataStore]s to filter on in a search call and configurations for those data stores. This is only considered for [Engine][google.cloud.discoveryengine.v1.Engine]s with multiple data stores.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 2 [(.google.api.field_behavior) = OPTIONAL];
int getDataStoreSpecsCount()
Optional. Specs defining [DataStore][google.cloud.discoveryengine.v1.DataStore]s to filter on in a search call and configurations for those data stores. This is only considered for [Engine][google.cloud.discoveryengine.v1.Engine]s with multiple data stores.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 2 [(.google.api.field_behavior) = OPTIONAL];
List<? extends SearchRequest.DataStoreSpecOrBuilder> getDataStoreSpecsOrBuilderList()
Optional. Specs defining [DataStore][google.cloud.discoveryengine.v1.DataStore]s to filter on in a search call and configurations for those data stores. This is only considered for [Engine][google.cloud.discoveryengine.v1.Engine]s with multiple data stores.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 2 [(.google.api.field_behavior) = OPTIONAL];
SearchRequest.DataStoreSpecOrBuilder getDataStoreSpecsOrBuilder(int index)
Optional. Specs defining [DataStore][google.cloud.discoveryengine.v1.DataStore]s to filter on in a search call and configurations for those data stores. This is only considered for [Engine][google.cloud.discoveryengine.v1.Engine]s with multiple data stores.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 2 [(.google.api.field_behavior) = OPTIONAL];
String getFilter()
Optional. The filter syntax consists of an expression language for
constructing a predicate from one or more fields of the documents being
filtered. Filter expression is case-sensitive.
If this field is unrecognizable, an `INVALID_ARGUMENT` is returned.
Filtering in Vertex AI Search is done by mapping the LHS filter key to
a key property defined in the Vertex AI Search backend -- this mapping
is defined by the customer in their schema. For example a media
customer might have a field 'name' in their schema. In this case the
filter would look like this: filter --> name:'ANY("king kong")'
For more information about filtering including syntax and filter
operators, see
[Filter](https://cloud.google.com/generative-ai-app-builder/docs/filter-search-metadata)
string filter = 4 [(.google.api.field_behavior) = OPTIONAL];com.google.protobuf.ByteString getFilterBytes()
Optional. The filter syntax consists of an expression language for
constructing a predicate from one or more fields of the documents being
filtered. Filter expression is case-sensitive.
If this field is unrecognizable, an `INVALID_ARGUMENT` is returned.
Filtering in Vertex AI Search is done by mapping the LHS filter key to
a key property defined in the Vertex AI Search backend -- this mapping
is defined by the customer in their schema. For example a media
customer might have a field 'name' in their schema. In this case the
filter would look like this: filter --> name:'ANY("king kong")'
For more information about filtering including syntax and filter
operators, see
[Filter](https://cloud.google.com/generative-ai-app-builder/docs/filter-search-metadata)
string filter = 4 [(.google.api.field_behavior) = OPTIONAL];Copyright © 2026 Google LLC. All rights reserved.