- 0.66.0 (latest)
- 0.64.0
- 0.63.0
- 0.60.0
- 0.59.0
- 0.58.0
- 0.56.0
- 0.55.0
- 0.54.0
- 0.53.0
- 0.52.0
- 0.51.0
- 0.50.0
- 0.49.0
- 0.48.0
- 0.47.0
- 0.45.0
- 0.44.0
- 0.43.0
- 0.42.0
- 0.41.0
- 0.40.0
- 0.39.0
- 0.38.0
- 0.37.0
- 0.36.0
- 0.35.0
- 0.33.0
- 0.32.0
- 0.31.0
- 0.30.0
- 0.29.0
- 0.28.0
- 0.27.0
- 0.26.0
- 0.25.0
- 0.24.0
- 0.23.0
- 0.20.0
- 0.19.0
- 0.18.0
- 0.17.0
- 0.16.0
- 0.15.0
- 0.14.0
- 0.13.0
- 0.12.0
- 0.11.0
- 0.10.0
- 0.9.0
- 0.8.0
- 0.7.0
- 0.5.0
- 0.4.0
- 0.3.0
- 0.2.0
- 0.1.0
public static interface StreamAssistRequest.ToolsSpec.VertexAiSearchSpecOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getDataStoreSpecs(int index)
public abstract SearchRequest.DataStoreSpec getDataStoreSpecs(int index)Optional. Specs defining DataStores to filter on in a search call and configurations for those data stores. This is only considered for Engines with multiple data stores.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 2 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
index |
int |
| Returns | |
|---|---|
| Type | Description |
SearchRequest.DataStoreSpec |
|
getDataStoreSpecsCount()
public abstract int getDataStoreSpecsCount()Optional. Specs defining DataStores to filter on in a search call and configurations for those data stores. This is only considered for Engines with multiple data stores.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
int |
|
getDataStoreSpecsList()
public abstract List<SearchRequest.DataStoreSpec> getDataStoreSpecsList()Optional. Specs defining DataStores to filter on in a search call and configurations for those data stores. This is only considered for Engines with multiple data stores.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
List<DataStoreSpec> |
|
getDataStoreSpecsOrBuilder(int index)
public abstract SearchRequest.DataStoreSpecOrBuilder getDataStoreSpecsOrBuilder(int index)Optional. Specs defining DataStores to filter on in a search call and configurations for those data stores. This is only considered for Engines with multiple data stores.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 2 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
index |
int |
| Returns | |
|---|---|
| Type | Description |
SearchRequest.DataStoreSpecOrBuilder |
|
getDataStoreSpecsOrBuilderList()
public abstract List<? extends SearchRequest.DataStoreSpecOrBuilder> getDataStoreSpecsOrBuilderList()Optional. Specs defining DataStores to filter on in a search call and configurations for those data stores. This is only considered for Engines with multiple data stores.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
List<? extends com.google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpecOrBuilder> |
|
getFilter()
public abstract 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
string filter = 4 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
String |
The filter. |
getFilterBytes()
public abstract 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
string filter = 4 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for filter. |