@Generated
public interface SearchRequestOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
boolean |
containsParams(String key)
Additional search parameters.
|
boolean |
containsUserLabels(String key)
The user labels applied to a resource must meet the following requirements:
* Each resource can have multiple labels, up to a maximum of 64
|
SearchRequest.BoostSpec |
getBoostSpec()
Boost specification to boost certain documents.
|
SearchRequest.BoostSpecOrBuilder |
getBoostSpecOrBuilder()
Boost specification to boost certain documents.
|
String |
getBranch()
The branch resource name, such as
`projects/*/locations/global/collections/default_collection/dataStores/default_data_store/branches/0`.
|
com.google.protobuf.ByteString |
getBranchBytes()
The branch resource name, such as
`projects/*/locations/global/collections/default_collection/dataStores/default_data_store/branches/0`.
|
String |
getCanonicalFilter()
The default filter that is applied when a user performs a search without
checking any filters on the search page.
|
com.google.protobuf.ByteString |
getCanonicalFilterBytes()
The default filter that is applied when a user performs a search without
checking any filters on the search page.
|
SearchRequest.ContentSearchSpec |
getContentSearchSpec()
A specification for configuring the behavior of content search.
|
SearchRequest.ContentSearchSpecOrBuilder |
getContentSearchSpecOrBuilder()
A specification for configuring the behavior of content search.
|
SearchRequest.CrowdingSpec |
getCrowdingSpecs(int index)
Optional.
|
int |
getCrowdingSpecsCount()
Optional.
|
List<SearchRequest.CrowdingSpec> |
getCrowdingSpecsList()
Optional.
|
SearchRequest.CrowdingSpecOrBuilder |
getCrowdingSpecsOrBuilder(int index)
Optional.
|
List<? extends SearchRequest.CrowdingSpecOrBuilder> |
getCrowdingSpecsOrBuilderList()
Optional.
|
SearchRequest.DataStoreSpec |
getDataStoreSpecs(int index)
Specifications that define the specific
[DataStore][google.cloud.discoveryengine.v1.DataStore]s to be searched,
along with configurations for those data stores.
|
int |
getDataStoreSpecsCount()
Specifications that define the specific
[DataStore][google.cloud.discoveryengine.v1.DataStore]s to be searched,
along with configurations for those data stores.
|
List<SearchRequest.DataStoreSpec> |
getDataStoreSpecsList()
Specifications that define the specific
[DataStore][google.cloud.discoveryengine.v1.DataStore]s to be searched,
along with configurations for those data stores.
|
SearchRequest.DataStoreSpecOrBuilder |
getDataStoreSpecsOrBuilder(int index)
Specifications that define the specific
[DataStore][google.cloud.discoveryengine.v1.DataStore]s to be searched,
along with configurations for those data stores.
|
List<? extends SearchRequest.DataStoreSpecOrBuilder> |
getDataStoreSpecsOrBuilderList()
Specifications that define the specific
[DataStore][google.cloud.discoveryengine.v1.DataStore]s to be searched,
along with configurations for those data stores.
|
SearchRequest.DisplaySpec |
getDisplaySpec()
Optional.
|
SearchRequest.DisplaySpecOrBuilder |
getDisplaySpecOrBuilder()
Optional.
|
SearchRequest.FacetSpec |
getFacetSpecs(int index)
Facet specifications for faceted search.
|
int |
getFacetSpecsCount()
Facet specifications for faceted search.
|
List<SearchRequest.FacetSpec> |
getFacetSpecsList()
Facet specifications for faceted search.
|
SearchRequest.FacetSpecOrBuilder |
getFacetSpecsOrBuilder(int index)
Facet specifications for faceted search.
|
List<? extends SearchRequest.FacetSpecOrBuilder> |
getFacetSpecsOrBuilderList()
Facet specifications for faceted search.
|
String |
getFilter()
The filter syntax consists of an expression language for constructing a
predicate from one or more fields of the documents being filtered.
|
com.google.protobuf.ByteString |
getFilterBytes()
The filter syntax consists of an expression language for constructing a
predicate from one or more fields of the documents being filtered.
|
SearchRequest.ImageQuery |
getImageQuery()
Raw image query.
|
SearchRequest.ImageQueryOrBuilder |
getImageQueryOrBuilder()
Raw image query.
|
String |
getLanguageCode()
The BCP-47 language code, such as "en-US" or "sr-Latn".
|
com.google.protobuf.ByteString |
getLanguageCodeBytes()
The BCP-47 language code, such as "en-US" or "sr-Latn".
|
SearchRequest.NaturalLanguageQueryUnderstandingSpec |
getNaturalLanguageQueryUnderstandingSpec()
Optional.
|
SearchRequest.NaturalLanguageQueryUnderstandingSpecOrBuilder |
getNaturalLanguageQueryUnderstandingSpecOrBuilder()
Optional.
|
int |
getOffset()
A 0-indexed integer that specifies the current offset (that is, starting
result location, amongst the
[Document][google.cloud.discoveryengine.v1.Document]s deemed by the API as
relevant) in search results.
|
int |
getOneBoxPageSize()
The maximum number of results to return for OneBox.
|
String |
getOrderBy()
The order in which documents are returned.
|
com.google.protobuf.ByteString |
getOrderByBytes()
The order in which documents are returned.
|
String |
getPageCategories(int index)
Optional.
|
com.google.protobuf.ByteString |
getPageCategoriesBytes(int index)
Optional.
|
int |
getPageCategoriesCount()
Optional.
|
List<String> |
getPageCategoriesList()
Optional.
|
int |
getPageSize()
Maximum number of [Document][google.cloud.discoveryengine.v1.Document]s to
return.
|
String |
getPageToken()
A page token received from a previous
[SearchService.Search][google.cloud.discoveryengine.v1.SearchService.Search]
call.
|
com.google.protobuf.ByteString |
getPageTokenBytes()
A page token received from a previous
[SearchService.Search][google.cloud.discoveryengine.v1.SearchService.Search]
call.
|
Map<String,com.google.protobuf.Value> |
getParams()
Deprecated.
|
int |
getParamsCount()
Additional search parameters.
|
Map<String,com.google.protobuf.Value> |
getParamsMap()
Additional search parameters.
|
com.google.protobuf.Value |
getParamsOrDefault(String key,
com.google.protobuf.Value defaultValue)
Additional search parameters.
|
com.google.protobuf.Value |
getParamsOrThrow(String key)
Additional search parameters.
|
String |
getQuery()
Raw search query.
|
com.google.protobuf.ByteString |
getQueryBytes()
Raw search query.
|
SearchRequest.QueryExpansionSpec |
getQueryExpansionSpec()
The query expansion specification that specifies the conditions under which
query expansion occurs.
|
SearchRequest.QueryExpansionSpecOrBuilder |
getQueryExpansionSpecOrBuilder()
The query expansion specification that specifies the conditions under which
query expansion occurs.
|
String |
getRankingExpression()
Optional.
|
SearchRequest.RankingExpressionBackend |
getRankingExpressionBackend()
Optional.
|
int |
getRankingExpressionBackendValue()
Optional.
|
com.google.protobuf.ByteString |
getRankingExpressionBytes()
Optional.
|
SearchRequest.RelevanceScoreSpec |
getRelevanceScoreSpec()
Optional.
|
SearchRequest.RelevanceScoreSpecOrBuilder |
getRelevanceScoreSpecOrBuilder()
Optional.
|
SearchRequest.RelevanceThreshold |
getRelevanceThreshold()
The global relevance threshold of the search results.
|
int |
getRelevanceThresholdValue()
The global relevance threshold of the search results.
|
boolean |
getSafeSearch()
Whether to turn on safe search.
|
SearchRequest.SearchAsYouTypeSpec |
getSearchAsYouTypeSpec()
Search as you type configuration.
|
SearchRequest.SearchAsYouTypeSpecOrBuilder |
getSearchAsYouTypeSpecOrBuilder()
Search as you type configuration.
|
String |
getServingConfig()
Required.
|
com.google.protobuf.ByteString |
getServingConfigBytes()
Required.
|
String |
getSession()
The session resource name.
|
com.google.protobuf.ByteString |
getSessionBytes()
The session resource name.
|
SearchRequest.SessionSpec |
getSessionSpec()
Session specification.
|
SearchRequest.SessionSpecOrBuilder |
getSessionSpecOrBuilder()
Session specification.
|
SearchRequest.SpellCorrectionSpec |
getSpellCorrectionSpec()
The spell correction specification that specifies the mode under
which spell correction takes effect.
|
SearchRequest.SpellCorrectionSpecOrBuilder |
getSpellCorrectionSpecOrBuilder()
The spell correction specification that specifies the mode under
which spell correction takes effect.
|
UserInfo |
getUserInfo()
Information about the end user.
|
UserInfoOrBuilder |
getUserInfoOrBuilder()
Information about the end user.
|
Map<String,String> |
getUserLabels()
Deprecated.
|
int |
getUserLabelsCount()
The user labels applied to a resource must meet the following requirements:
* Each resource can have multiple labels, up to a maximum of 64
|
Map<String,String> |
getUserLabelsMap()
The user labels applied to a resource must meet the following requirements:
* Each resource can have multiple labels, up to a maximum of 64
|
String |
getUserLabelsOrDefault(String key,
String defaultValue)
The user labels applied to a resource must meet the following requirements:
* Each resource can have multiple labels, up to a maximum of 64
|
String |
getUserLabelsOrThrow(String key)
The user labels applied to a resource must meet the following requirements:
* Each resource can have multiple labels, up to a maximum of 64
|
String |
getUserPseudoId()
Optional.
|
com.google.protobuf.ByteString |
getUserPseudoIdBytes()
Optional.
|
boolean |
hasBoostSpec()
Boost specification to boost certain documents.
|
boolean |
hasContentSearchSpec()
A specification for configuring the behavior of content search.
|
boolean |
hasDisplaySpec()
Optional.
|
boolean |
hasImageQuery()
Raw image query.
|
boolean |
hasNaturalLanguageQueryUnderstandingSpec()
Optional.
|
boolean |
hasQueryExpansionSpec()
The query expansion specification that specifies the conditions under which
query expansion occurs.
|
boolean |
hasRelevanceScoreSpec()
Optional.
|
boolean |
hasSearchAsYouTypeSpec()
Search as you type configuration.
|
boolean |
hasSessionSpec()
Session specification.
|
boolean |
hasSpellCorrectionSpec()
The spell correction specification that specifies the mode under
which spell correction takes effect.
|
boolean |
hasUserInfo()
Information about the end user.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofString getServingConfig()
Required. The resource name of the Search serving config, such as `projects/*/locations/global/collections/default_collection/engines/*/servingConfigs/default_serving_config`, or `projects/*/locations/global/collections/default_collection/dataStores/default_data_store/servingConfigs/default_serving_config`. This field is used to identify the serving configuration name, set of models used to make the search.
string serving_config = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
com.google.protobuf.ByteString getServingConfigBytes()
Required. The resource name of the Search serving config, such as `projects/*/locations/global/collections/default_collection/engines/*/servingConfigs/default_serving_config`, or `projects/*/locations/global/collections/default_collection/dataStores/default_data_store/servingConfigs/default_serving_config`. This field is used to identify the serving configuration name, set of models used to make the search.
string serving_config = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
String getBranch()
The branch resource name, such as `projects/*/locations/global/collections/default_collection/dataStores/default_data_store/branches/0`. Use `default_branch` as the branch ID or leave this field empty, to search documents under the default branch.
string branch = 2 [(.google.api.resource_reference) = { ... }com.google.protobuf.ByteString getBranchBytes()
The branch resource name, such as `projects/*/locations/global/collections/default_collection/dataStores/default_data_store/branches/0`. Use `default_branch` as the branch ID or leave this field empty, to search documents under the default branch.
string branch = 2 [(.google.api.resource_reference) = { ... }String getQuery()
Raw search query.
string query = 3;com.google.protobuf.ByteString getQueryBytes()
Raw search query.
string query = 3;List<String> getPageCategoriesList()
Optional. The categories associated with a category page. Must be set for category navigation queries to achieve good search quality. The format should be the same as [PageInfo.page_category][google.cloud.discoveryengine.v1.PageInfo.page_category]. This field is the equivalent of the query for browse (navigation) queries. It's used by the browse model when the query is empty. If the field is empty, it will not be used by the browse model. If the field contains more than one element, only the first element will be used. To represent full path of a category, use '>' character to separate different hierarchies. If '>' is part of the category name, replace it with other character(s). For example, `Graphics Cards > RTX>4090 > Founders Edition` where "RTX > 4090" represents one level, can be rewritten as `Graphics Cards > RTX_4090 > Founders Edition`
repeated string page_categories = 63 [(.google.api.field_behavior) = OPTIONAL];int getPageCategoriesCount()
Optional. The categories associated with a category page. Must be set for category navigation queries to achieve good search quality. The format should be the same as [PageInfo.page_category][google.cloud.discoveryengine.v1.PageInfo.page_category]. This field is the equivalent of the query for browse (navigation) queries. It's used by the browse model when the query is empty. If the field is empty, it will not be used by the browse model. If the field contains more than one element, only the first element will be used. To represent full path of a category, use '>' character to separate different hierarchies. If '>' is part of the category name, replace it with other character(s). For example, `Graphics Cards > RTX>4090 > Founders Edition` where "RTX > 4090" represents one level, can be rewritten as `Graphics Cards > RTX_4090 > Founders Edition`
repeated string page_categories = 63 [(.google.api.field_behavior) = OPTIONAL];String getPageCategories(int index)
Optional. The categories associated with a category page. Must be set for category navigation queries to achieve good search quality. The format should be the same as [PageInfo.page_category][google.cloud.discoveryengine.v1.PageInfo.page_category]. This field is the equivalent of the query for browse (navigation) queries. It's used by the browse model when the query is empty. If the field is empty, it will not be used by the browse model. If the field contains more than one element, only the first element will be used. To represent full path of a category, use '>' character to separate different hierarchies. If '>' is part of the category name, replace it with other character(s). For example, `Graphics Cards > RTX>4090 > Founders Edition` where "RTX > 4090" represents one level, can be rewritten as `Graphics Cards > RTX_4090 > Founders Edition`
repeated string page_categories = 63 [(.google.api.field_behavior) = OPTIONAL];index - The index of the element to return.com.google.protobuf.ByteString getPageCategoriesBytes(int index)
Optional. The categories associated with a category page. Must be set for category navigation queries to achieve good search quality. The format should be the same as [PageInfo.page_category][google.cloud.discoveryengine.v1.PageInfo.page_category]. This field is the equivalent of the query for browse (navigation) queries. It's used by the browse model when the query is empty. If the field is empty, it will not be used by the browse model. If the field contains more than one element, only the first element will be used. To represent full path of a category, use '>' character to separate different hierarchies. If '>' is part of the category name, replace it with other character(s). For example, `Graphics Cards > RTX>4090 > Founders Edition` where "RTX > 4090" represents one level, can be rewritten as `Graphics Cards > RTX_4090 > Founders Edition`
repeated string page_categories = 63 [(.google.api.field_behavior) = OPTIONAL];index - The index of the value to return.boolean hasImageQuery()
Raw image query.
.google.cloud.discoveryengine.v1.SearchRequest.ImageQuery image_query = 19;SearchRequest.ImageQuery getImageQuery()
Raw image query.
.google.cloud.discoveryengine.v1.SearchRequest.ImageQuery image_query = 19;SearchRequest.ImageQueryOrBuilder getImageQueryOrBuilder()
Raw image query.
.google.cloud.discoveryengine.v1.SearchRequest.ImageQuery image_query = 19;int getPageSize()
Maximum number of [Document][google.cloud.discoveryengine.v1.Document]s to return. The maximum allowed value depends on the data type. Values above the maximum value are coerced to the maximum value. * Websites with basic indexing: Default `10`, Maximum `25`. * Websites with advanced indexing: Default `25`, Maximum `50`. * Other: Default `50`, Maximum `100`. If this field is negative, an `INVALID_ARGUMENT` is returned.
int32 page_size = 4;String getPageToken()
A page token received from a previous [SearchService.Search][google.cloud.discoveryengine.v1.SearchService.Search] call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to [SearchService.Search][google.cloud.discoveryengine.v1.SearchService.Search] must match the call that provided the page token. Otherwise, an `INVALID_ARGUMENT` error is returned.
string page_token = 5;com.google.protobuf.ByteString getPageTokenBytes()
A page token received from a previous [SearchService.Search][google.cloud.discoveryengine.v1.SearchService.Search] call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to [SearchService.Search][google.cloud.discoveryengine.v1.SearchService.Search] must match the call that provided the page token. Otherwise, an `INVALID_ARGUMENT` error is returned.
string page_token = 5;int getOffset()
A 0-indexed integer that specifies the current offset (that is, starting result location, amongst the [Document][google.cloud.discoveryengine.v1.Document]s deemed by the API as relevant) in search results. This field is only considered if [page_token][google.cloud.discoveryengine.v1.SearchRequest.page_token] is unset. If this field is negative, an `INVALID_ARGUMENT` is returned. A large offset may be capped to a reasonable threshold.
int32 offset = 6;int getOneBoxPageSize()
The maximum number of results to return for OneBox. This applies to each OneBox type individually. Default number is 10.
int32 one_box_page_size = 47;List<SearchRequest.DataStoreSpec> getDataStoreSpecsList()
Specifications that define the specific [DataStore][google.cloud.discoveryengine.v1.DataStore]s to be searched, along with configurations for those data stores. This is only considered for [Engine][google.cloud.discoveryengine.v1.Engine]s with multiple data stores. For engines with a single data store, the specs directly under [SearchRequest][google.cloud.discoveryengine.v1.SearchRequest] should be used.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 32;
SearchRequest.DataStoreSpec getDataStoreSpecs(int index)
Specifications that define the specific [DataStore][google.cloud.discoveryengine.v1.DataStore]s to be searched, along with configurations for those data stores. This is only considered for [Engine][google.cloud.discoveryengine.v1.Engine]s with multiple data stores. For engines with a single data store, the specs directly under [SearchRequest][google.cloud.discoveryengine.v1.SearchRequest] should be used.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 32;
int getDataStoreSpecsCount()
Specifications that define the specific [DataStore][google.cloud.discoveryengine.v1.DataStore]s to be searched, along with configurations for those data stores. This is only considered for [Engine][google.cloud.discoveryengine.v1.Engine]s with multiple data stores. For engines with a single data store, the specs directly under [SearchRequest][google.cloud.discoveryengine.v1.SearchRequest] should be used.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 32;
List<? extends SearchRequest.DataStoreSpecOrBuilder> getDataStoreSpecsOrBuilderList()
Specifications that define the specific [DataStore][google.cloud.discoveryengine.v1.DataStore]s to be searched, along with configurations for those data stores. This is only considered for [Engine][google.cloud.discoveryengine.v1.Engine]s with multiple data stores. For engines with a single data store, the specs directly under [SearchRequest][google.cloud.discoveryengine.v1.SearchRequest] should be used.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 32;
SearchRequest.DataStoreSpecOrBuilder getDataStoreSpecsOrBuilder(int index)
Specifications that define the specific [DataStore][google.cloud.discoveryengine.v1.DataStore]s to be searched, along with configurations for those data stores. This is only considered for [Engine][google.cloud.discoveryengine.v1.Engine]s with multiple data stores. For engines with a single data store, the specs directly under [SearchRequest][google.cloud.discoveryengine.v1.SearchRequest] should be used.
repeated .google.cloud.discoveryengine.v1.SearchRequest.DataStoreSpec data_store_specs = 32;
String getFilter()
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 = 7;com.google.protobuf.ByteString getFilterBytes()
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 = 7;String getCanonicalFilter()
The default filter that is applied when a user performs a search without checking any filters on the search page. The filter applied to every search request when quality improvement such as query expansion is needed. In the case a query does not have a sufficient amount of results this filter will be used to determine whether or not to enable the query expansion flow. The original filter will still be used for the query expanded search. This field is strongly recommended to achieve high search quality. For more information about filter syntax, see [SearchRequest.filter][google.cloud.discoveryengine.v1.SearchRequest.filter].
string canonical_filter = 29;com.google.protobuf.ByteString getCanonicalFilterBytes()
The default filter that is applied when a user performs a search without checking any filters on the search page. The filter applied to every search request when quality improvement such as query expansion is needed. In the case a query does not have a sufficient amount of results this filter will be used to determine whether or not to enable the query expansion flow. The original filter will still be used for the query expanded search. This field is strongly recommended to achieve high search quality. For more information about filter syntax, see [SearchRequest.filter][google.cloud.discoveryengine.v1.SearchRequest.filter].
string canonical_filter = 29;String getOrderBy()
The order in which documents are returned. Documents can be ordered by a field in an [Document][google.cloud.discoveryengine.v1.Document] object. Leave it unset if ordered by relevance. `order_by` expression is case-sensitive. For more information on ordering the website search results, see [Order web search results](https://cloud.google.com/generative-ai-app-builder/docs/order-web-search-results). For more information on ordering the healthcare search results, see [Order healthcare search results](https://cloud.google.com/generative-ai-app-builder/docs/order-hc-results). If this field is unrecognizable, an `INVALID_ARGUMENT` is returned.
string order_by = 8;com.google.protobuf.ByteString getOrderByBytes()
The order in which documents are returned. Documents can be ordered by a field in an [Document][google.cloud.discoveryengine.v1.Document] object. Leave it unset if ordered by relevance. `order_by` expression is case-sensitive. For more information on ordering the website search results, see [Order web search results](https://cloud.google.com/generative-ai-app-builder/docs/order-web-search-results). For more information on ordering the healthcare search results, see [Order healthcare search results](https://cloud.google.com/generative-ai-app-builder/docs/order-hc-results). If this field is unrecognizable, an `INVALID_ARGUMENT` is returned.
string order_by = 8;boolean hasUserInfo()
Information about the end user. Highly recommended for analytics and personalization. [UserInfo.user_agent][google.cloud.discoveryengine.v1.UserInfo.user_agent] is used to deduce `device_type` for analytics.
.google.cloud.discoveryengine.v1.UserInfo user_info = 21;UserInfo getUserInfo()
Information about the end user. Highly recommended for analytics and personalization. [UserInfo.user_agent][google.cloud.discoveryengine.v1.UserInfo.user_agent] is used to deduce `device_type` for analytics.
.google.cloud.discoveryengine.v1.UserInfo user_info = 21;UserInfoOrBuilder getUserInfoOrBuilder()
Information about the end user. Highly recommended for analytics and personalization. [UserInfo.user_agent][google.cloud.discoveryengine.v1.UserInfo.user_agent] is used to deduce `device_type` for analytics.
.google.cloud.discoveryengine.v1.UserInfo user_info = 21;String getLanguageCode()
The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see [Standard fields](https://cloud.google.com/apis/design/standard_fields). This field helps to better interpret the query. If a value isn't specified, the query language code is automatically detected, which may not be accurate.
string language_code = 35;com.google.protobuf.ByteString getLanguageCodeBytes()
The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see [Standard fields](https://cloud.google.com/apis/design/standard_fields). This field helps to better interpret the query. If a value isn't specified, the query language code is automatically detected, which may not be accurate.
string language_code = 35;List<SearchRequest.FacetSpec> getFacetSpecsList()
Facet specifications for faceted search. If empty, no facets are returned. A maximum of 100 values are allowed. Otherwise, an `INVALID_ARGUMENT` error is returned.
repeated .google.cloud.discoveryengine.v1.SearchRequest.FacetSpec facet_specs = 9;SearchRequest.FacetSpec getFacetSpecs(int index)
Facet specifications for faceted search. If empty, no facets are returned. A maximum of 100 values are allowed. Otherwise, an `INVALID_ARGUMENT` error is returned.
repeated .google.cloud.discoveryengine.v1.SearchRequest.FacetSpec facet_specs = 9;int getFacetSpecsCount()
Facet specifications for faceted search. If empty, no facets are returned. A maximum of 100 values are allowed. Otherwise, an `INVALID_ARGUMENT` error is returned.
repeated .google.cloud.discoveryengine.v1.SearchRequest.FacetSpec facet_specs = 9;List<? extends SearchRequest.FacetSpecOrBuilder> getFacetSpecsOrBuilderList()
Facet specifications for faceted search. If empty, no facets are returned. A maximum of 100 values are allowed. Otherwise, an `INVALID_ARGUMENT` error is returned.
repeated .google.cloud.discoveryengine.v1.SearchRequest.FacetSpec facet_specs = 9;SearchRequest.FacetSpecOrBuilder getFacetSpecsOrBuilder(int index)
Facet specifications for faceted search. If empty, no facets are returned. A maximum of 100 values are allowed. Otherwise, an `INVALID_ARGUMENT` error is returned.
repeated .google.cloud.discoveryengine.v1.SearchRequest.FacetSpec facet_specs = 9;boolean hasBoostSpec()
Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/generative-ai-app-builder/docs/boost-search-results)
.google.cloud.discoveryengine.v1.SearchRequest.BoostSpec boost_spec = 10;SearchRequest.BoostSpec getBoostSpec()
Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/generative-ai-app-builder/docs/boost-search-results)
.google.cloud.discoveryengine.v1.SearchRequest.BoostSpec boost_spec = 10;SearchRequest.BoostSpecOrBuilder getBoostSpecOrBuilder()
Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/generative-ai-app-builder/docs/boost-search-results)
.google.cloud.discoveryengine.v1.SearchRequest.BoostSpec boost_spec = 10;int getParamsCount()
Additional search parameters. For public website search only, supported values are: * `user_country_code`: string. Default empty. If set to non-empty, results are restricted or boosted based on the location provided. For example, `user_country_code: "au"` For available codes see [Country Codes](https://developers.google.com/custom-search/docs/json_api_reference#countryCodes) * `search_type`: double. Default empty. Enables non-webpage searching depending on the value. The only valid non-default value is 1, which enables image searching. For example, `search_type: 1`
map<string, .google.protobuf.Value> params = 11;boolean containsParams(String key)
Additional search parameters. For public website search only, supported values are: * `user_country_code`: string. Default empty. If set to non-empty, results are restricted or boosted based on the location provided. For example, `user_country_code: "au"` For available codes see [Country Codes](https://developers.google.com/custom-search/docs/json_api_reference#countryCodes) * `search_type`: double. Default empty. Enables non-webpage searching depending on the value. The only valid non-default value is 1, which enables image searching. For example, `search_type: 1`
map<string, .google.protobuf.Value> params = 11;@Deprecated Map<String,com.google.protobuf.Value> getParams()
getParamsMap() instead.Map<String,com.google.protobuf.Value> getParamsMap()
Additional search parameters. For public website search only, supported values are: * `user_country_code`: string. Default empty. If set to non-empty, results are restricted or boosted based on the location provided. For example, `user_country_code: "au"` For available codes see [Country Codes](https://developers.google.com/custom-search/docs/json_api_reference#countryCodes) * `search_type`: double. Default empty. Enables non-webpage searching depending on the value. The only valid non-default value is 1, which enables image searching. For example, `search_type: 1`
map<string, .google.protobuf.Value> params = 11;com.google.protobuf.Value getParamsOrDefault(String key, com.google.protobuf.Value defaultValue)
Additional search parameters. For public website search only, supported values are: * `user_country_code`: string. Default empty. If set to non-empty, results are restricted or boosted based on the location provided. For example, `user_country_code: "au"` For available codes see [Country Codes](https://developers.google.com/custom-search/docs/json_api_reference#countryCodes) * `search_type`: double. Default empty. Enables non-webpage searching depending on the value. The only valid non-default value is 1, which enables image searching. For example, `search_type: 1`
map<string, .google.protobuf.Value> params = 11;com.google.protobuf.Value getParamsOrThrow(String key)
Additional search parameters. For public website search only, supported values are: * `user_country_code`: string. Default empty. If set to non-empty, results are restricted or boosted based on the location provided. For example, `user_country_code: "au"` For available codes see [Country Codes](https://developers.google.com/custom-search/docs/json_api_reference#countryCodes) * `search_type`: double. Default empty. Enables non-webpage searching depending on the value. The only valid non-default value is 1, which enables image searching. For example, `search_type: 1`
map<string, .google.protobuf.Value> params = 11;boolean hasQueryExpansionSpec()
The query expansion specification that specifies the conditions under which query expansion occurs.
.google.cloud.discoveryengine.v1.SearchRequest.QueryExpansionSpec query_expansion_spec = 13;
SearchRequest.QueryExpansionSpec getQueryExpansionSpec()
The query expansion specification that specifies the conditions under which query expansion occurs.
.google.cloud.discoveryengine.v1.SearchRequest.QueryExpansionSpec query_expansion_spec = 13;
SearchRequest.QueryExpansionSpecOrBuilder getQueryExpansionSpecOrBuilder()
The query expansion specification that specifies the conditions under which query expansion occurs.
.google.cloud.discoveryengine.v1.SearchRequest.QueryExpansionSpec query_expansion_spec = 13;
boolean hasSpellCorrectionSpec()
The spell correction specification that specifies the mode under which spell correction takes effect.
.google.cloud.discoveryengine.v1.SearchRequest.SpellCorrectionSpec spell_correction_spec = 14;
SearchRequest.SpellCorrectionSpec getSpellCorrectionSpec()
The spell correction specification that specifies the mode under which spell correction takes effect.
.google.cloud.discoveryengine.v1.SearchRequest.SpellCorrectionSpec spell_correction_spec = 14;
SearchRequest.SpellCorrectionSpecOrBuilder getSpellCorrectionSpecOrBuilder()
The spell correction specification that specifies the mode under which spell correction takes effect.
.google.cloud.discoveryengine.v1.SearchRequest.SpellCorrectionSpec spell_correction_spec = 14;
String getUserPseudoId()
Optional. A unique identifier for tracking visitors. For example, this could be implemented with an HTTP cookie, which should be able to uniquely identify a visitor on a single device. This unique identifier should not change if the visitor logs in or out of the website. This field should NOT have a fixed value such as `unknown_visitor`. This should be the same identifier as [UserEvent.user_pseudo_id][google.cloud.discoveryengine.v1.UserEvent.user_pseudo_id] and [CompleteQueryRequest.user_pseudo_id][google.cloud.discoveryengine.v1.CompleteQueryRequest.user_pseudo_id] The field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an `INVALID_ARGUMENT` error is returned.
string user_pseudo_id = 15 [(.google.api.field_behavior) = OPTIONAL];com.google.protobuf.ByteString getUserPseudoIdBytes()
Optional. A unique identifier for tracking visitors. For example, this could be implemented with an HTTP cookie, which should be able to uniquely identify a visitor on a single device. This unique identifier should not change if the visitor logs in or out of the website. This field should NOT have a fixed value such as `unknown_visitor`. This should be the same identifier as [UserEvent.user_pseudo_id][google.cloud.discoveryengine.v1.UserEvent.user_pseudo_id] and [CompleteQueryRequest.user_pseudo_id][google.cloud.discoveryengine.v1.CompleteQueryRequest.user_pseudo_id] The field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an `INVALID_ARGUMENT` error is returned.
string user_pseudo_id = 15 [(.google.api.field_behavior) = OPTIONAL];boolean hasContentSearchSpec()
A specification for configuring the behavior of content search.
.google.cloud.discoveryengine.v1.SearchRequest.ContentSearchSpec content_search_spec = 24;
SearchRequest.ContentSearchSpec getContentSearchSpec()
A specification for configuring the behavior of content search.
.google.cloud.discoveryengine.v1.SearchRequest.ContentSearchSpec content_search_spec = 24;
SearchRequest.ContentSearchSpecOrBuilder getContentSearchSpecOrBuilder()
A specification for configuring the behavior of content search.
.google.cloud.discoveryengine.v1.SearchRequest.ContentSearchSpec content_search_spec = 24;
String getRankingExpression()
Optional. The ranking expression controls the customized ranking on
retrieval documents. This overrides
[ServingConfig.ranking_expression][google.cloud.discoveryengine.v1.ServingConfig.ranking_expression].
The syntax and supported features depend on the
`ranking_expression_backend` value. If `ranking_expression_backend` is not
provided, it defaults to `RANK_BY_EMBEDDING`.
If
[ranking_expression_backend][google.cloud.discoveryengine.v1.SearchRequest.ranking_expression_backend]
is not provided or set to `RANK_BY_EMBEDDING`, it should be a single
function or multiple functions that are joined by "+".
* ranking_expression = function, { " + ", function };
Supported functions:
* double * relevance_score
* double * dotProduct(embedding_field_path)
Function variables:
* `relevance_score`: pre-defined keywords, used for measure relevance
between query and document.
* `embedding_field_path`: the document embedding field
used with query embedding vector.
* `dotProduct`: embedding function between `embedding_field_path` and
query embedding vector.
Example ranking expression:
If document has an embedding field doc_embedding, the ranking expression
could be `0.5 * relevance_score + 0.3 * dotProduct(doc_embedding)`.
If
[ranking_expression_backend][google.cloud.discoveryengine.v1.SearchRequest.ranking_expression_backend]
is set to `RANK_BY_FORMULA`, the following expression types (and
combinations of those chained using + or
* operators) are supported:
* `double`
* `signal`
* `log(signal)`
* `exp(signal)`
* `rr(signal, double > 0)` -- reciprocal rank transformation with second
argument being a denominator constant.
* `is_nan(signal)` -- returns 0 if signal is NaN, 1 otherwise.
* `fill_nan(signal1, signal2 | double)` -- if signal1 is NaN, returns
signal2 | double, else returns signal1.
Here are a few examples of ranking formulas that use the supported
ranking expression types:
- `0.2 * semantic_similarity_score + 0.8 * log(keyword_similarity_score)`
-- mostly rank by the logarithm of `keyword_similarity_score` with slight
`semantic_smilarity_score` adjustment.
- `0.2 * exp(fill_nan(semantic_similarity_score, 0)) + 0.3 *
is_nan(keyword_similarity_score)` -- rank by the exponent of
`semantic_similarity_score` filling the value with 0 if it's NaN, also
add constant 0.3 adjustment to the final score if
`semantic_similarity_score` is NaN.
- `0.2 * rr(semantic_similarity_score, 16) + 0.8 *
rr(keyword_similarity_score, 16)` -- mostly rank by the reciprocal rank
of `keyword_similarity_score` with slight adjustment of reciprocal rank
of `semantic_smilarity_score`.
The following signals are supported:
* `semantic_similarity_score`: semantic similarity adjustment that is
calculated using the embeddings generated by a proprietary Google model.
This score determines how semantically similar a search query is to a
document.
* `keyword_similarity_score`: keyword match adjustment uses the Best
Match 25 (BM25) ranking function. This score is calculated using a
probabilistic model to estimate the probability that a document is
relevant to a given query.
* `relevance_score`: semantic relevance adjustment that uses a
proprietary Google model to determine the meaning and intent behind a
user's query in context with the content in the documents.
* `pctr_rank`: predicted conversion rate adjustment as a rank use
predicted Click-through rate (pCTR) to gauge the relevance and
attractiveness of a search result from a user's perspective. A higher
pCTR suggests that the result is more likely to satisfy the user's query
and intent, making it a valuable signal for ranking.
* `freshness_rank`: freshness adjustment as a rank
* `document_age`: The time in hours elapsed since the document was last
updated, a floating-point number (e.g., 0.25 means 15 minutes).
* `topicality_rank`: topicality adjustment as a rank. Uses proprietary
Google model to determine the keyword-based overlap between the query and
the document.
* `base_rank`: the default rank of the result
string ranking_expression = 26 [(.google.api.field_behavior) = OPTIONAL];com.google.protobuf.ByteString getRankingExpressionBytes()
Optional. The ranking expression controls the customized ranking on
retrieval documents. This overrides
[ServingConfig.ranking_expression][google.cloud.discoveryengine.v1.ServingConfig.ranking_expression].
The syntax and supported features depend on the
`ranking_expression_backend` value. If `ranking_expression_backend` is not
provided, it defaults to `RANK_BY_EMBEDDING`.
If
[ranking_expression_backend][google.cloud.discoveryengine.v1.SearchRequest.ranking_expression_backend]
is not provided or set to `RANK_BY_EMBEDDING`, it should be a single
function or multiple functions that are joined by "+".
* ranking_expression = function, { " + ", function };
Supported functions:
* double * relevance_score
* double * dotProduct(embedding_field_path)
Function variables:
* `relevance_score`: pre-defined keywords, used for measure relevance
between query and document.
* `embedding_field_path`: the document embedding field
used with query embedding vector.
* `dotProduct`: embedding function between `embedding_field_path` and
query embedding vector.
Example ranking expression:
If document has an embedding field doc_embedding, the ranking expression
could be `0.5 * relevance_score + 0.3 * dotProduct(doc_embedding)`.
If
[ranking_expression_backend][google.cloud.discoveryengine.v1.SearchRequest.ranking_expression_backend]
is set to `RANK_BY_FORMULA`, the following expression types (and
combinations of those chained using + or
* operators) are supported:
* `double`
* `signal`
* `log(signal)`
* `exp(signal)`
* `rr(signal, double > 0)` -- reciprocal rank transformation with second
argument being a denominator constant.
* `is_nan(signal)` -- returns 0 if signal is NaN, 1 otherwise.
* `fill_nan(signal1, signal2 | double)` -- if signal1 is NaN, returns
signal2 | double, else returns signal1.
Here are a few examples of ranking formulas that use the supported
ranking expression types:
- `0.2 * semantic_similarity_score + 0.8 * log(keyword_similarity_score)`
-- mostly rank by the logarithm of `keyword_similarity_score` with slight
`semantic_smilarity_score` adjustment.
- `0.2 * exp(fill_nan(semantic_similarity_score, 0)) + 0.3 *
is_nan(keyword_similarity_score)` -- rank by the exponent of
`semantic_similarity_score` filling the value with 0 if it's NaN, also
add constant 0.3 adjustment to the final score if
`semantic_similarity_score` is NaN.
- `0.2 * rr(semantic_similarity_score, 16) + 0.8 *
rr(keyword_similarity_score, 16)` -- mostly rank by the reciprocal rank
of `keyword_similarity_score` with slight adjustment of reciprocal rank
of `semantic_smilarity_score`.
The following signals are supported:
* `semantic_similarity_score`: semantic similarity adjustment that is
calculated using the embeddings generated by a proprietary Google model.
This score determines how semantically similar a search query is to a
document.
* `keyword_similarity_score`: keyword match adjustment uses the Best
Match 25 (BM25) ranking function. This score is calculated using a
probabilistic model to estimate the probability that a document is
relevant to a given query.
* `relevance_score`: semantic relevance adjustment that uses a
proprietary Google model to determine the meaning and intent behind a
user's query in context with the content in the documents.
* `pctr_rank`: predicted conversion rate adjustment as a rank use
predicted Click-through rate (pCTR) to gauge the relevance and
attractiveness of a search result from a user's perspective. A higher
pCTR suggests that the result is more likely to satisfy the user's query
and intent, making it a valuable signal for ranking.
* `freshness_rank`: freshness adjustment as a rank
* `document_age`: The time in hours elapsed since the document was last
updated, a floating-point number (e.g., 0.25 means 15 minutes).
* `topicality_rank`: topicality adjustment as a rank. Uses proprietary
Google model to determine the keyword-based overlap between the query and
the document.
* `base_rank`: the default rank of the result
string ranking_expression = 26 [(.google.api.field_behavior) = OPTIONAL];int getRankingExpressionBackendValue()
Optional. The backend to use for the ranking expression evaluation.
.google.cloud.discoveryengine.v1.SearchRequest.RankingExpressionBackend ranking_expression_backend = 53 [(.google.api.field_behavior) = OPTIONAL];
SearchRequest.RankingExpressionBackend getRankingExpressionBackend()
Optional. The backend to use for the ranking expression evaluation.
.google.cloud.discoveryengine.v1.SearchRequest.RankingExpressionBackend ranking_expression_backend = 53 [(.google.api.field_behavior) = OPTIONAL];
boolean getSafeSearch()
Whether to turn on safe search. This is only supported for website search.
bool safe_search = 20;int getUserLabelsCount()
The user labels applied to a resource must meet the following requirements: * Each resource can have multiple labels, up to a maximum of 64. * Each label must be a key-value pair. * Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters. * Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed. * The key portion of a label must be unique. However, you can use the same key with multiple resources. * Keys must start with a lowercase letter or international character. See [Google Cloud Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) for more details.
map<string, string> user_labels = 22;boolean containsUserLabels(String key)
The user labels applied to a resource must meet the following requirements: * Each resource can have multiple labels, up to a maximum of 64. * Each label must be a key-value pair. * Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters. * Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed. * The key portion of a label must be unique. However, you can use the same key with multiple resources. * Keys must start with a lowercase letter or international character. See [Google Cloud Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) for more details.
map<string, string> user_labels = 22;@Deprecated Map<String,String> getUserLabels()
getUserLabelsMap() instead.Map<String,String> getUserLabelsMap()
The user labels applied to a resource must meet the following requirements: * Each resource can have multiple labels, up to a maximum of 64. * Each label must be a key-value pair. * Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters. * Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed. * The key portion of a label must be unique. However, you can use the same key with multiple resources. * Keys must start with a lowercase letter or international character. See [Google Cloud Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) for more details.
map<string, string> user_labels = 22;String getUserLabelsOrDefault(String key, String defaultValue)
The user labels applied to a resource must meet the following requirements: * Each resource can have multiple labels, up to a maximum of 64. * Each label must be a key-value pair. * Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters. * Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed. * The key portion of a label must be unique. However, you can use the same key with multiple resources. * Keys must start with a lowercase letter or international character. See [Google Cloud Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) for more details.
map<string, string> user_labels = 22;String getUserLabelsOrThrow(String key)
The user labels applied to a resource must meet the following requirements: * Each resource can have multiple labels, up to a maximum of 64. * Each label must be a key-value pair. * Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters. * Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed. * The key portion of a label must be unique. However, you can use the same key with multiple resources. * Keys must start with a lowercase letter or international character. See [Google Cloud Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) for more details.
map<string, string> user_labels = 22;boolean hasNaturalLanguageQueryUnderstandingSpec()
Optional. Config for natural language query understanding capabilities, such as extracting structured field filters from the query. Refer to [this documentation](https://cloud.google.com/generative-ai-app-builder/docs/natural-language-queries) for more information. If `naturalLanguageQueryUnderstandingSpec` is not specified, no additional natural language query understanding will be done.
.google.cloud.discoveryengine.v1.SearchRequest.NaturalLanguageQueryUnderstandingSpec natural_language_query_understanding_spec = 28 [(.google.api.field_behavior) = OPTIONAL];
SearchRequest.NaturalLanguageQueryUnderstandingSpec getNaturalLanguageQueryUnderstandingSpec()
Optional. Config for natural language query understanding capabilities, such as extracting structured field filters from the query. Refer to [this documentation](https://cloud.google.com/generative-ai-app-builder/docs/natural-language-queries) for more information. If `naturalLanguageQueryUnderstandingSpec` is not specified, no additional natural language query understanding will be done.
.google.cloud.discoveryengine.v1.SearchRequest.NaturalLanguageQueryUnderstandingSpec natural_language_query_understanding_spec = 28 [(.google.api.field_behavior) = OPTIONAL];
SearchRequest.NaturalLanguageQueryUnderstandingSpecOrBuilder getNaturalLanguageQueryUnderstandingSpecOrBuilder()
Optional. Config for natural language query understanding capabilities, such as extracting structured field filters from the query. Refer to [this documentation](https://cloud.google.com/generative-ai-app-builder/docs/natural-language-queries) for more information. If `naturalLanguageQueryUnderstandingSpec` is not specified, no additional natural language query understanding will be done.
.google.cloud.discoveryengine.v1.SearchRequest.NaturalLanguageQueryUnderstandingSpec natural_language_query_understanding_spec = 28 [(.google.api.field_behavior) = OPTIONAL];
boolean hasSearchAsYouTypeSpec()
Search as you type configuration. Only supported for the [IndustryVertical.MEDIA][google.cloud.discoveryengine.v1.IndustryVertical.MEDIA] vertical.
.google.cloud.discoveryengine.v1.SearchRequest.SearchAsYouTypeSpec search_as_you_type_spec = 31;
SearchRequest.SearchAsYouTypeSpec getSearchAsYouTypeSpec()
Search as you type configuration. Only supported for the [IndustryVertical.MEDIA][google.cloud.discoveryengine.v1.IndustryVertical.MEDIA] vertical.
.google.cloud.discoveryengine.v1.SearchRequest.SearchAsYouTypeSpec search_as_you_type_spec = 31;
SearchRequest.SearchAsYouTypeSpecOrBuilder getSearchAsYouTypeSpecOrBuilder()
Search as you type configuration. Only supported for the [IndustryVertical.MEDIA][google.cloud.discoveryengine.v1.IndustryVertical.MEDIA] vertical.
.google.cloud.discoveryengine.v1.SearchRequest.SearchAsYouTypeSpec search_as_you_type_spec = 31;
boolean hasDisplaySpec()
Optional. Config for display feature, like match highlighting on search results.
.google.cloud.discoveryengine.v1.SearchRequest.DisplaySpec display_spec = 38 [(.google.api.field_behavior) = OPTIONAL];
SearchRequest.DisplaySpec getDisplaySpec()
Optional. Config for display feature, like match highlighting on search results.
.google.cloud.discoveryengine.v1.SearchRequest.DisplaySpec display_spec = 38 [(.google.api.field_behavior) = OPTIONAL];
SearchRequest.DisplaySpecOrBuilder getDisplaySpecOrBuilder()
Optional. Config for display feature, like match highlighting on search results.
.google.cloud.discoveryengine.v1.SearchRequest.DisplaySpec display_spec = 38 [(.google.api.field_behavior) = OPTIONAL];
List<SearchRequest.CrowdingSpec> getCrowdingSpecsList()
Optional. Crowding specifications for improving result diversity. If multiple CrowdingSpecs are specified, crowding will be evaluated on each unique combination of the `field` values, and max_count will be the maximum value of `max_count` across all CrowdingSpecs. For example, if the first CrowdingSpec has `field` = "color" and `max_count` = 3, and the second CrowdingSpec has `field` = "size" and `max_count` = 2, then after 3 documents that share the same color AND size have been returned, subsequent ones should be removed or demoted.
repeated .google.cloud.discoveryengine.v1.SearchRequest.CrowdingSpec crowding_specs = 40 [(.google.api.field_behavior) = OPTIONAL];
SearchRequest.CrowdingSpec getCrowdingSpecs(int index)
Optional. Crowding specifications for improving result diversity. If multiple CrowdingSpecs are specified, crowding will be evaluated on each unique combination of the `field` values, and max_count will be the maximum value of `max_count` across all CrowdingSpecs. For example, if the first CrowdingSpec has `field` = "color" and `max_count` = 3, and the second CrowdingSpec has `field` = "size" and `max_count` = 2, then after 3 documents that share the same color AND size have been returned, subsequent ones should be removed or demoted.
repeated .google.cloud.discoveryengine.v1.SearchRequest.CrowdingSpec crowding_specs = 40 [(.google.api.field_behavior) = OPTIONAL];
int getCrowdingSpecsCount()
Optional. Crowding specifications for improving result diversity. If multiple CrowdingSpecs are specified, crowding will be evaluated on each unique combination of the `field` values, and max_count will be the maximum value of `max_count` across all CrowdingSpecs. For example, if the first CrowdingSpec has `field` = "color" and `max_count` = 3, and the second CrowdingSpec has `field` = "size" and `max_count` = 2, then after 3 documents that share the same color AND size have been returned, subsequent ones should be removed or demoted.
repeated .google.cloud.discoveryengine.v1.SearchRequest.CrowdingSpec crowding_specs = 40 [(.google.api.field_behavior) = OPTIONAL];
List<? extends SearchRequest.CrowdingSpecOrBuilder> getCrowdingSpecsOrBuilderList()
Optional. Crowding specifications for improving result diversity. If multiple CrowdingSpecs are specified, crowding will be evaluated on each unique combination of the `field` values, and max_count will be the maximum value of `max_count` across all CrowdingSpecs. For example, if the first CrowdingSpec has `field` = "color" and `max_count` = 3, and the second CrowdingSpec has `field` = "size" and `max_count` = 2, then after 3 documents that share the same color AND size have been returned, subsequent ones should be removed or demoted.
repeated .google.cloud.discoveryengine.v1.SearchRequest.CrowdingSpec crowding_specs = 40 [(.google.api.field_behavior) = OPTIONAL];
SearchRequest.CrowdingSpecOrBuilder getCrowdingSpecsOrBuilder(int index)
Optional. Crowding specifications for improving result diversity. If multiple CrowdingSpecs are specified, crowding will be evaluated on each unique combination of the `field` values, and max_count will be the maximum value of `max_count` across all CrowdingSpecs. For example, if the first CrowdingSpec has `field` = "color" and `max_count` = 3, and the second CrowdingSpec has `field` = "size" and `max_count` = 2, then after 3 documents that share the same color AND size have been returned, subsequent ones should be removed or demoted.
repeated .google.cloud.discoveryengine.v1.SearchRequest.CrowdingSpec crowding_specs = 40 [(.google.api.field_behavior) = OPTIONAL];
String getSession()
The session resource name. Optional. Session allows users to do multi-turn /search API calls or coordination between /search API calls and /answer API calls. Example #1 (multi-turn /search API calls): Call /search API with the session ID generated in the first call. Here, the previous search query gets considered in query standing. I.e., if the first query is "How did Alphabet do in 2022?" and the current query is "How about 2023?", the current query will be interpreted as "How did Alphabet do in 2023?". Example #2 (coordination between /search API calls and /answer API calls): Call /answer API with the session ID generated in the first call. Here, the answer generation happens in the context of the search results from the first search call. Multi-turn Search feature is currently at private GA stage. Please use v1alpha or v1beta version instead before we launch this feature to public GA. Or ask for allowlisting through Google Support team.
string session = 41 [(.google.api.resource_reference) = { ... }com.google.protobuf.ByteString getSessionBytes()
The session resource name. Optional. Session allows users to do multi-turn /search API calls or coordination between /search API calls and /answer API calls. Example #1 (multi-turn /search API calls): Call /search API with the session ID generated in the first call. Here, the previous search query gets considered in query standing. I.e., if the first query is "How did Alphabet do in 2022?" and the current query is "How about 2023?", the current query will be interpreted as "How did Alphabet do in 2023?". Example #2 (coordination between /search API calls and /answer API calls): Call /answer API with the session ID generated in the first call. Here, the answer generation happens in the context of the search results from the first search call. Multi-turn Search feature is currently at private GA stage. Please use v1alpha or v1beta version instead before we launch this feature to public GA. Or ask for allowlisting through Google Support team.
string session = 41 [(.google.api.resource_reference) = { ... }boolean hasSessionSpec()
Session specification. Can be used only when `session` is set.
.google.cloud.discoveryengine.v1.SearchRequest.SessionSpec session_spec = 42;SearchRequest.SessionSpec getSessionSpec()
Session specification. Can be used only when `session` is set.
.google.cloud.discoveryengine.v1.SearchRequest.SessionSpec session_spec = 42;SearchRequest.SessionSpecOrBuilder getSessionSpecOrBuilder()
Session specification. Can be used only when `session` is set.
.google.cloud.discoveryengine.v1.SearchRequest.SessionSpec session_spec = 42;int getRelevanceThresholdValue()
The global relevance threshold of the search results. Defaults to Google defined threshold, leveraging a balance of precision and recall to deliver both highly accurate results and comprehensive coverage of relevant information. If more granular relevance filtering is required, use the `relevance_filter_spec` instead. This feature is not supported for healthcare search.
.google.cloud.discoveryengine.v1.SearchRequest.RelevanceThreshold relevance_threshold = 44;
SearchRequest.RelevanceThreshold getRelevanceThreshold()
The global relevance threshold of the search results. Defaults to Google defined threshold, leveraging a balance of precision and recall to deliver both highly accurate results and comprehensive coverage of relevant information. If more granular relevance filtering is required, use the `relevance_filter_spec` instead. This feature is not supported for healthcare search.
.google.cloud.discoveryengine.v1.SearchRequest.RelevanceThreshold relevance_threshold = 44;
boolean hasRelevanceScoreSpec()
Optional. The specification for returning the relevance score.
.google.cloud.discoveryengine.v1.SearchRequest.RelevanceScoreSpec relevance_score_spec = 52 [(.google.api.field_behavior) = OPTIONAL];
SearchRequest.RelevanceScoreSpec getRelevanceScoreSpec()
Optional. The specification for returning the relevance score.
.google.cloud.discoveryengine.v1.SearchRequest.RelevanceScoreSpec relevance_score_spec = 52 [(.google.api.field_behavior) = OPTIONAL];
SearchRequest.RelevanceScoreSpecOrBuilder getRelevanceScoreSpecOrBuilder()
Optional. The specification for returning the relevance score.
.google.cloud.discoveryengine.v1.SearchRequest.RelevanceScoreSpec relevance_score_spec = 52 [(.google.api.field_behavior) = OPTIONAL];
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