Package com.google.cloud.discoveryengine.v1

Interface StreamAssistRequest.ToolsSpec.VertexAiSearchSpecOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
StreamAssistRequest.ToolsSpec.VertexAiSearchSpec, StreamAssistRequest.ToolsSpec.VertexAiSearchSpec.Builder
Enclosing class:
StreamAssistRequest.ToolsSpec
public static interface StreamAssistRequest.ToolsSpec.VertexAiSearchSpecOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getDataStoreSpecsList

      List<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];

    • getDataStoreSpecs

      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];

    • getDataStoreSpecsCount

      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];

    • getDataStoreSpecsOrBuilderList

      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];

    • getDataStoreSpecsOrBuilder

      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];

    • getFilter

      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];
      Returns:
      The filter.

    • getFilterBytes

      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];
      Returns:
      The bytes for filter.