Class SearchRequest.Builder (0.42.0) 

public static final class SearchRequest.Builder extends GeneratedMessageV3.Builder<SearchRequest.Builder> implements SearchRequestOrBuilder

Request message for SearchService.Search method.

Protobuf type google.cloud.discoveryengine.v1beta.SearchRequest

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > SearchRequest.Builder

Static Methods

getDescriptor()

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

Methods

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

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

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

Parameter
Name Description
values Iterable<? extends com.google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec>
Returns
Type Description
SearchRequest.Builder

addAllFacetSpecs(Iterable<? extends SearchRequest.FacetSpec> values)

public SearchRequest.Builder addAllFacetSpecs(Iterable<? extends SearchRequest.FacetSpec> values)

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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Parameter
Name Description
values Iterable<? extends com.google.cloud.discoveryengine.v1beta.SearchRequest.FacetSpec>
Returns
Type Description
SearchRequest.Builder

addDataStoreSpecs(SearchRequest.DataStoreSpec value)

public SearchRequest.Builder addDataStoreSpecs(SearchRequest.DataStoreSpec value)

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

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

addDataStoreSpecs(SearchRequest.DataStoreSpec.Builder builderForValue)

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

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

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

addDataStoreSpecs(int index, SearchRequest.DataStoreSpec value)

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

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

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

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

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

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

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

addDataStoreSpecsBuilder()

public SearchRequest.DataStoreSpec.Builder addDataStoreSpecsBuilder()

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

Returns
Type Description
SearchRequest.DataStoreSpec.Builder

addDataStoreSpecsBuilder(int index)

public SearchRequest.DataStoreSpec.Builder addDataStoreSpecsBuilder(int index)

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

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

addFacetSpecs(SearchRequest.FacetSpec value)

public SearchRequest.Builder addFacetSpecs(SearchRequest.FacetSpec value)

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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Parameter
Name Description
value SearchRequest.FacetSpec
Returns
Type Description
SearchRequest.Builder

addFacetSpecs(SearchRequest.FacetSpec.Builder builderForValue)

public SearchRequest.Builder addFacetSpecs(SearchRequest.FacetSpec.Builder builderForValue)

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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Parameter
Name Description
builderForValue SearchRequest.FacetSpec.Builder
Returns
Type Description
SearchRequest.Builder

addFacetSpecs(int index, SearchRequest.FacetSpec value)

public SearchRequest.Builder addFacetSpecs(int index, SearchRequest.FacetSpec value)

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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Parameters
Name Description
index int
value SearchRequest.FacetSpec
Returns
Type Description
SearchRequest.Builder

addFacetSpecs(int index, SearchRequest.FacetSpec.Builder builderForValue)

public SearchRequest.Builder addFacetSpecs(int index, SearchRequest.FacetSpec.Builder builderForValue)

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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Parameters
Name Description
index int
builderForValue SearchRequest.FacetSpec.Builder
Returns
Type Description
SearchRequest.Builder

addFacetSpecsBuilder()

public SearchRequest.FacetSpec.Builder addFacetSpecsBuilder()

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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Returns
Type Description
SearchRequest.FacetSpec.Builder

addFacetSpecsBuilder(int index)

public SearchRequest.FacetSpec.Builder addFacetSpecsBuilder(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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Parameter
Name Description
index int
Returns
Type Description
SearchRequest.FacetSpec.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

build()

public SearchRequest build()
Returns
Type Description
SearchRequest

buildPartial()

public SearchRequest buildPartial()
Returns
Type Description
SearchRequest

clear()

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

clearBoostSpec()

public SearchRequest.Builder clearBoostSpec()

Boost specification to boost certain documents. For more information on boosting, see Boosting

.google.cloud.discoveryengine.v1beta.SearchRequest.BoostSpec boost_spec = 10;

Returns
Type Description
SearchRequest.Builder

clearBranch()

public SearchRequest.Builder clearBranch()

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) = { ... }

Returns
Type Description
SearchRequest.Builder

This builder for chaining.

clearCanonicalFilter()

public SearchRequest.Builder clearCanonicalFilter()

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.

string canonical_filter = 29;

Returns
Type Description
SearchRequest.Builder

This builder for chaining.

clearContentSearchSpec()

public SearchRequest.Builder clearContentSearchSpec()

A specification for configuring the behavior of content search.

.google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec content_search_spec = 24;

Returns
Type Description
SearchRequest.Builder

clearDataStoreSpecs()

public SearchRequest.Builder clearDataStoreSpecs()

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

Returns
Type Description
SearchRequest.Builder

clearEmbeddingSpec()

public SearchRequest.Builder clearEmbeddingSpec()

Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path.

If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path.

.google.cloud.discoveryengine.v1beta.SearchRequest.EmbeddingSpec embedding_spec = 23;

Returns
Type Description
SearchRequest.Builder

clearFacetSpecs()

public SearchRequest.Builder clearFacetSpecs()

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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Returns
Type Description
SearchRequest.Builder

clearField(Descriptors.FieldDescriptor field)

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

clearFilter()

public SearchRequest.Builder clearFilter()

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 = 7;

Returns
Type Description
SearchRequest.Builder

This builder for chaining.

clearImageQuery()

public SearchRequest.Builder clearImageQuery()

Raw image query.

.google.cloud.discoveryengine.v1beta.SearchRequest.ImageQuery image_query = 19;

Returns
Type Description
SearchRequest.Builder

clearOffset()

public SearchRequest.Builder clearOffset()

A 0-indexed integer that specifies the current offset (that is, starting result location, amongst the Documents deemed by the API as relevant) in search results. This field is only considered if page_token is unset.

If this field is negative, an INVALID_ARGUMENT is returned.

int32 offset = 6;

Returns
Type Description
SearchRequest.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

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

clearOrderBy()

public SearchRequest.Builder clearOrderBy()

The order in which documents are returned. Documents can be ordered by a field in an Document object. Leave it unset if ordered by relevance. order_by expression is case-sensitive.

For more information on ordering for retail search, see Ordering

If this field is unrecognizable, an INVALID_ARGUMENT is returned.

string order_by = 8;

Returns
Type Description
SearchRequest.Builder

This builder for chaining.

clearPageSize()

public SearchRequest.Builder clearPageSize()

Maximum number of Documents 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;

Returns
Type Description
SearchRequest.Builder

This builder for chaining.

clearPageToken()

public SearchRequest.Builder clearPageToken()

A page token received from a previous SearchService.Search call. Provide this to retrieve the subsequent page.

When paginating, all other parameters provided to SearchService.Search must match the call that provided the page token. Otherwise, an INVALID_ARGUMENT error is returned.

string page_token = 5;

Returns
Type Description
SearchRequest.Builder

This builder for chaining.

clearParams()

public SearchRequest.Builder clearParams()
Returns
Type Description
SearchRequest.Builder

clearQuery()

public SearchRequest.Builder clearQuery()

Raw search query.

string query = 3;

Returns
Type Description
SearchRequest.Builder

This builder for chaining.

clearQueryExpansionSpec()

public SearchRequest.Builder clearQueryExpansionSpec()

The query expansion specification that specifies the conditions under which query expansion occurs.

.google.cloud.discoveryengine.v1beta.SearchRequest.QueryExpansionSpec query_expansion_spec = 13;

Returns
Type Description
SearchRequest.Builder

clearRankingExpression()

public SearchRequest.Builder clearRankingExpression()

The ranking expression controls the customized ranking on retrieval documents. This overrides ServingConfig.ranking_expression. The ranking expression is a single function or multiple functions that are joint 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).

string ranking_expression = 26;

Returns
Type Description
SearchRequest.Builder

This builder for chaining.

clearSafeSearch()

public SearchRequest.Builder clearSafeSearch()

Whether to turn on safe search. This is only supported for website search.

bool safe_search = 20;

Returns
Type Description
SearchRequest.Builder

This builder for chaining.

clearServingConfig()

public SearchRequest.Builder clearServingConfig()

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) = { ... }

Returns
Type Description
SearchRequest.Builder

This builder for chaining.

clearSpellCorrectionSpec()

public SearchRequest.Builder clearSpellCorrectionSpec()

The spell correction specification that specifies the mode under which spell correction takes effect.

.google.cloud.discoveryengine.v1beta.SearchRequest.SpellCorrectionSpec spell_correction_spec = 14;

Returns
Type Description
SearchRequest.Builder

clearUserInfo()

public SearchRequest.Builder clearUserInfo()

Information about the end user. Highly recommended for analytics. UserInfo.user_agent is used to deduce device_type for analytics.

.google.cloud.discoveryengine.v1beta.UserInfo user_info = 21;

Returns
Type Description
SearchRequest.Builder

clearUserLabels()

public SearchRequest.Builder clearUserLabels()
Returns
Type Description
SearchRequest.Builder

clearUserPseudoId()

public SearchRequest.Builder clearUserPseudoId()

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 and 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;

Returns
Type Description
SearchRequest.Builder

This builder for chaining.

clone()

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

containsParams(String key)

public 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

  • 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;

Parameter
Name Description
key String
Returns
Type Description
boolean

containsUserLabels(String key)

public 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 for more details.

map<string, string> user_labels = 22;

Parameter
Name Description
key String
Returns
Type Description
boolean

getBoostSpec()

public SearchRequest.BoostSpec getBoostSpec()

Boost specification to boost certain documents. For more information on boosting, see Boosting

.google.cloud.discoveryengine.v1beta.SearchRequest.BoostSpec boost_spec = 10;

Returns
Type Description
SearchRequest.BoostSpec

The boostSpec.

getBoostSpecBuilder()

public SearchRequest.BoostSpec.Builder getBoostSpecBuilder()

Boost specification to boost certain documents. For more information on boosting, see Boosting

.google.cloud.discoveryengine.v1beta.SearchRequest.BoostSpec boost_spec = 10;

Returns
Type Description
SearchRequest.BoostSpec.Builder

getBoostSpecOrBuilder()

public SearchRequest.BoostSpecOrBuilder getBoostSpecOrBuilder()

Boost specification to boost certain documents. For more information on boosting, see Boosting

.google.cloud.discoveryengine.v1beta.SearchRequest.BoostSpec boost_spec = 10;

Returns
Type Description
SearchRequest.BoostSpecOrBuilder

getBranch()

public 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) = { ... }

Returns
Type Description
String

The branch.

getBranchBytes()

public 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) = { ... }

Returns
Type Description
ByteString

The bytes for branch.

getCanonicalFilter()

public 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.

string canonical_filter = 29;

Returns
Type Description
String

The canonicalFilter.

getCanonicalFilterBytes()

public 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.

string canonical_filter = 29;

Returns
Type Description
ByteString

The bytes for canonicalFilter.

getContentSearchSpec()

public SearchRequest.ContentSearchSpec getContentSearchSpec()

A specification for configuring the behavior of content search.

.google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec content_search_spec = 24;

Returns
Type Description
SearchRequest.ContentSearchSpec

The contentSearchSpec.

getContentSearchSpecBuilder()

public SearchRequest.ContentSearchSpec.Builder getContentSearchSpecBuilder()

A specification for configuring the behavior of content search.

.google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec content_search_spec = 24;

Returns
Type Description
SearchRequest.ContentSearchSpec.Builder

getContentSearchSpecOrBuilder()

public SearchRequest.ContentSearchSpecOrBuilder getContentSearchSpecOrBuilder()

A specification for configuring the behavior of content search.

.google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec content_search_spec = 24;

Returns
Type Description
SearchRequest.ContentSearchSpecOrBuilder

getDataStoreSpecs(int index)

public SearchRequest.DataStoreSpec getDataStoreSpecs(int index)

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

Parameter
Name Description
index int
Returns
Type Description
SearchRequest.DataStoreSpec

getDataStoreSpecsBuilder(int index)

public SearchRequest.DataStoreSpec.Builder getDataStoreSpecsBuilder(int index)

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

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

getDataStoreSpecsBuilderList()

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

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

Returns
Type Description
List<Builder>

getDataStoreSpecsCount()

public int getDataStoreSpecsCount()

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

Returns
Type Description
int

getDataStoreSpecsList()

public List<SearchRequest.DataStoreSpec> getDataStoreSpecsList()

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

Returns
Type Description
List<DataStoreSpec>

getDataStoreSpecsOrBuilder(int index)

public SearchRequest.DataStoreSpecOrBuilder getDataStoreSpecsOrBuilder(int index)

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

Parameter
Name Description
index int
Returns
Type Description
SearchRequest.DataStoreSpecOrBuilder

getDataStoreSpecsOrBuilderList()

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

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

Returns
Type Description
List<? extends com.google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpecOrBuilder>

getDefaultInstanceForType()

public SearchRequest getDefaultInstanceForType()
Returns
Type Description
SearchRequest

getDescriptorForType()

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

getEmbeddingSpec()

public SearchRequest.EmbeddingSpec getEmbeddingSpec()

Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path.

If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path.

.google.cloud.discoveryengine.v1beta.SearchRequest.EmbeddingSpec embedding_spec = 23;

Returns
Type Description
SearchRequest.EmbeddingSpec

The embeddingSpec.

getEmbeddingSpecBuilder()

public SearchRequest.EmbeddingSpec.Builder getEmbeddingSpecBuilder()

Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path.

If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path.

.google.cloud.discoveryengine.v1beta.SearchRequest.EmbeddingSpec embedding_spec = 23;

Returns
Type Description
SearchRequest.EmbeddingSpec.Builder

getEmbeddingSpecOrBuilder()

public SearchRequest.EmbeddingSpecOrBuilder getEmbeddingSpecOrBuilder()

Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path.

If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path.

.google.cloud.discoveryengine.v1beta.SearchRequest.EmbeddingSpec embedding_spec = 23;

Returns
Type Description
SearchRequest.EmbeddingSpecOrBuilder

getFacetSpecs(int index)

public 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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Parameter
Name Description
index int
Returns
Type Description
SearchRequest.FacetSpec

getFacetSpecsBuilder(int index)

public SearchRequest.FacetSpec.Builder getFacetSpecsBuilder(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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Parameter
Name Description
index int
Returns
Type Description
SearchRequest.FacetSpec.Builder

getFacetSpecsBuilderList()

public List<SearchRequest.FacetSpec.Builder> getFacetSpecsBuilderList()

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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Returns
Type Description
List<Builder>

getFacetSpecsCount()

public 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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Returns
Type Description
int

getFacetSpecsList()

public 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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Returns
Type Description
List<FacetSpec>

getFacetSpecsOrBuilder(int index)

public 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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Parameter
Name Description
index int
Returns
Type Description
SearchRequest.FacetSpecOrBuilder

getFacetSpecsOrBuilderList()

public 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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Returns
Type Description
List<? extends com.google.cloud.discoveryengine.v1beta.SearchRequest.FacetSpecOrBuilder>

getFilter()

public 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

string filter = 7;

Returns
Type Description
String

The filter.

getFilterBytes()

public 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

string filter = 7;

Returns
Type Description
ByteString

The bytes for filter.

getImageQuery()

public SearchRequest.ImageQuery getImageQuery()

Raw image query.

.google.cloud.discoveryengine.v1beta.SearchRequest.ImageQuery image_query = 19;

Returns
Type Description
SearchRequest.ImageQuery

The imageQuery.

getImageQueryBuilder()

public SearchRequest.ImageQuery.Builder getImageQueryBuilder()

Raw image query.

.google.cloud.discoveryengine.v1beta.SearchRequest.ImageQuery image_query = 19;

Returns
Type Description
SearchRequest.ImageQuery.Builder

getImageQueryOrBuilder()

public SearchRequest.ImageQueryOrBuilder getImageQueryOrBuilder()

Raw image query.

.google.cloud.discoveryengine.v1beta.SearchRequest.ImageQuery image_query = 19;

Returns
Type Description
SearchRequest.ImageQueryOrBuilder

getMutableParams() (deprecated)

public Map<String,Value> getMutableParams()

Use alternate mutation accessors instead.

Returns
Type Description
Map<String,Value>

getMutableUserLabels() (deprecated)

public Map<String,String> getMutableUserLabels()

Use alternate mutation accessors instead.

Returns
Type Description
Map<String,String>

getOffset()

public int getOffset()

A 0-indexed integer that specifies the current offset (that is, starting result location, amongst the Documents deemed by the API as relevant) in search results. This field is only considered if page_token is unset.

If this field is negative, an INVALID_ARGUMENT is returned.

int32 offset = 6;

Returns
Type Description
int

The offset.

getOrderBy()

public String getOrderBy()

The order in which documents are returned. Documents can be ordered by a field in an Document object. Leave it unset if ordered by relevance. order_by expression is case-sensitive.

For more information on ordering for retail search, see Ordering

If this field is unrecognizable, an INVALID_ARGUMENT is returned.

string order_by = 8;

Returns
Type Description
String

The orderBy.

getOrderByBytes()

public ByteString getOrderByBytes()

The order in which documents are returned. Documents can be ordered by a field in an Document object. Leave it unset if ordered by relevance. order_by expression is case-sensitive.

For more information on ordering for retail search, see Ordering

If this field is unrecognizable, an INVALID_ARGUMENT is returned.

string order_by = 8;

Returns
Type Description
ByteString

The bytes for orderBy.

getPageSize()

public int getPageSize()

Maximum number of Documents 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;

Returns
Type Description
int

The pageSize.

getPageToken()

public String getPageToken()

A page token received from a previous SearchService.Search call. Provide this to retrieve the subsequent page.

When paginating, all other parameters provided to SearchService.Search must match the call that provided the page token. Otherwise, an INVALID_ARGUMENT error is returned.

string page_token = 5;

Returns
Type Description
String

The pageToken.

getPageTokenBytes()

public ByteString getPageTokenBytes()

A page token received from a previous SearchService.Search call. Provide this to retrieve the subsequent page.

When paginating, all other parameters provided to SearchService.Search must match the call that provided the page token. Otherwise, an INVALID_ARGUMENT error is returned.

string page_token = 5;

Returns
Type Description
ByteString

The bytes for pageToken.

getParams() (deprecated)

public Map<String,Value> getParams()

Use #getParamsMap() instead.

Returns
Type Description
Map<String,Value>

getParamsCount()

public 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

  • 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;

Returns
Type Description
int

getParamsMap()

public Map<String,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

  • 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;

Returns
Type Description
Map<String,Value>

getParamsOrDefault(String key, Value defaultValue)

public Value getParamsOrDefault(String key, 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

  • 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;

Parameters
Name Description
key String
defaultValue Value
Returns
Type Description
Value

getParamsOrThrow(String key)

public 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

  • 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;

Parameter
Name Description
key String
Returns
Type Description
Value

getQuery()

public String getQuery()

Raw search query.

string query = 3;

Returns
Type Description
String

The query.

getQueryBytes()

public ByteString getQueryBytes()

Raw search query.

string query = 3;

Returns
Type Description
ByteString

The bytes for query.

getQueryExpansionSpec()

public SearchRequest.QueryExpansionSpec getQueryExpansionSpec()

The query expansion specification that specifies the conditions under which query expansion occurs.

.google.cloud.discoveryengine.v1beta.SearchRequest.QueryExpansionSpec query_expansion_spec = 13;

Returns
Type Description
SearchRequest.QueryExpansionSpec

The queryExpansionSpec.

getQueryExpansionSpecBuilder()

public SearchRequest.QueryExpansionSpec.Builder getQueryExpansionSpecBuilder()

The query expansion specification that specifies the conditions under which query expansion occurs.

.google.cloud.discoveryengine.v1beta.SearchRequest.QueryExpansionSpec query_expansion_spec = 13;

Returns
Type Description
SearchRequest.QueryExpansionSpec.Builder

getQueryExpansionSpecOrBuilder()

public SearchRequest.QueryExpansionSpecOrBuilder getQueryExpansionSpecOrBuilder()

The query expansion specification that specifies the conditions under which query expansion occurs.

.google.cloud.discoveryengine.v1beta.SearchRequest.QueryExpansionSpec query_expansion_spec = 13;

Returns
Type Description
SearchRequest.QueryExpansionSpecOrBuilder

getRankingExpression()

public String getRankingExpression()

The ranking expression controls the customized ranking on retrieval documents. This overrides ServingConfig.ranking_expression. The ranking expression is a single function or multiple functions that are joint 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).

string ranking_expression = 26;

Returns
Type Description
String

The rankingExpression.

getRankingExpressionBytes()

public ByteString getRankingExpressionBytes()

The ranking expression controls the customized ranking on retrieval documents. This overrides ServingConfig.ranking_expression. The ranking expression is a single function or multiple functions that are joint 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).

string ranking_expression = 26;

Returns
Type Description
ByteString

The bytes for rankingExpression.

getSafeSearch()

public boolean getSafeSearch()

Whether to turn on safe search. This is only supported for website search.

bool safe_search = 20;

Returns
Type Description
boolean

The safeSearch.

getServingConfig()

public String 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) = { ... }

Returns
Type Description
String

The servingConfig.

getServingConfigBytes()

public 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) = { ... }

Returns
Type Description
ByteString

The bytes for servingConfig.

getSpellCorrectionSpec()

public SearchRequest.SpellCorrectionSpec getSpellCorrectionSpec()

The spell correction specification that specifies the mode under which spell correction takes effect.

.google.cloud.discoveryengine.v1beta.SearchRequest.SpellCorrectionSpec spell_correction_spec = 14;

Returns
Type Description
SearchRequest.SpellCorrectionSpec

The spellCorrectionSpec.

getSpellCorrectionSpecBuilder()

public SearchRequest.SpellCorrectionSpec.Builder getSpellCorrectionSpecBuilder()

The spell correction specification that specifies the mode under which spell correction takes effect.

.google.cloud.discoveryengine.v1beta.SearchRequest.SpellCorrectionSpec spell_correction_spec = 14;

Returns
Type Description
SearchRequest.SpellCorrectionSpec.Builder

getSpellCorrectionSpecOrBuilder()

public SearchRequest.SpellCorrectionSpecOrBuilder getSpellCorrectionSpecOrBuilder()

The spell correction specification that specifies the mode under which spell correction takes effect.

.google.cloud.discoveryengine.v1beta.SearchRequest.SpellCorrectionSpec spell_correction_spec = 14;

Returns
Type Description
SearchRequest.SpellCorrectionSpecOrBuilder

getUserInfo()

public UserInfo getUserInfo()

Information about the end user. Highly recommended for analytics. UserInfo.user_agent is used to deduce device_type for analytics.

.google.cloud.discoveryengine.v1beta.UserInfo user_info = 21;

Returns
Type Description
UserInfo

The userInfo.

getUserInfoBuilder()

public UserInfo.Builder getUserInfoBuilder()

Information about the end user. Highly recommended for analytics. UserInfo.user_agent is used to deduce device_type for analytics.

.google.cloud.discoveryengine.v1beta.UserInfo user_info = 21;

Returns
Type Description
UserInfo.Builder

getUserInfoOrBuilder()

public UserInfoOrBuilder getUserInfoOrBuilder()

Information about the end user. Highly recommended for analytics. UserInfo.user_agent is used to deduce device_type for analytics.

.google.cloud.discoveryengine.v1beta.UserInfo user_info = 21;

Returns
Type Description
UserInfoOrBuilder

getUserLabels() (deprecated)

public Map<String,String> getUserLabels()

Use #getUserLabelsMap() instead.

Returns
Type Description
Map<String,String>

getUserLabelsCount()

public 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 for more details.

map<string, string> user_labels = 22;

Returns
Type Description
int

getUserLabelsMap()

public 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 for more details.

map<string, string> user_labels = 22;

Returns
Type Description
Map<String,String>

getUserLabelsOrDefault(String key, String defaultValue)

public 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 for more details.

map<string, string> user_labels = 22;

Parameters
Name Description
key String
defaultValue String
Returns
Type Description
String

getUserLabelsOrThrow(String key)

public 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 for more details.

map<string, string> user_labels = 22;

Parameter
Name Description
key String
Returns
Type Description
String

getUserPseudoId()

public String getUserPseudoId()

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 and 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;

Returns
Type Description
String

The userPseudoId.

getUserPseudoIdBytes()

public ByteString getUserPseudoIdBytes()

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 and 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;

Returns
Type Description
ByteString

The bytes for userPseudoId.

hasBoostSpec()

public boolean hasBoostSpec()

Boost specification to boost certain documents. For more information on boosting, see Boosting

.google.cloud.discoveryengine.v1beta.SearchRequest.BoostSpec boost_spec = 10;

Returns
Type Description
boolean

Whether the boostSpec field is set.

hasContentSearchSpec()

public boolean hasContentSearchSpec()

A specification for configuring the behavior of content search.

.google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec content_search_spec = 24;

Returns
Type Description
boolean

Whether the contentSearchSpec field is set.

hasEmbeddingSpec()

public boolean hasEmbeddingSpec()

Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path.

If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path.

.google.cloud.discoveryengine.v1beta.SearchRequest.EmbeddingSpec embedding_spec = 23;

Returns
Type Description
boolean

Whether the embeddingSpec field is set.

hasImageQuery()

public boolean hasImageQuery()

Raw image query.

.google.cloud.discoveryengine.v1beta.SearchRequest.ImageQuery image_query = 19;

Returns
Type Description
boolean

Whether the imageQuery field is set.

hasQueryExpansionSpec()

public boolean hasQueryExpansionSpec()

The query expansion specification that specifies the conditions under which query expansion occurs.

.google.cloud.discoveryengine.v1beta.SearchRequest.QueryExpansionSpec query_expansion_spec = 13;

Returns
Type Description
boolean

Whether the queryExpansionSpec field is set.

hasSpellCorrectionSpec()

public boolean hasSpellCorrectionSpec()

The spell correction specification that specifies the mode under which spell correction takes effect.

.google.cloud.discoveryengine.v1beta.SearchRequest.SpellCorrectionSpec spell_correction_spec = 14;

Returns
Type Description
boolean

Whether the spellCorrectionSpec field is set.

hasUserInfo()

public boolean hasUserInfo()

Information about the end user. Highly recommended for analytics. UserInfo.user_agent is used to deduce device_type for analytics.

.google.cloud.discoveryengine.v1beta.UserInfo user_info = 21;

Returns
Type Description
boolean

Whether the userInfo field is set.

internalGetFieldAccessorTable()

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

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

internalGetMutableMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeBoostSpec(SearchRequest.BoostSpec value)

public SearchRequest.Builder mergeBoostSpec(SearchRequest.BoostSpec value)

Boost specification to boost certain documents. For more information on boosting, see Boosting

.google.cloud.discoveryengine.v1beta.SearchRequest.BoostSpec boost_spec = 10;

Parameter
Name Description
value SearchRequest.BoostSpec
Returns
Type Description
SearchRequest.Builder

mergeContentSearchSpec(SearchRequest.ContentSearchSpec value)

public SearchRequest.Builder mergeContentSearchSpec(SearchRequest.ContentSearchSpec value)

A specification for configuring the behavior of content search.

.google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec content_search_spec = 24;

Parameter
Name Description
value SearchRequest.ContentSearchSpec
Returns
Type Description
SearchRequest.Builder

mergeEmbeddingSpec(SearchRequest.EmbeddingSpec value)

public SearchRequest.Builder mergeEmbeddingSpec(SearchRequest.EmbeddingSpec value)

Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path.

If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path.

.google.cloud.discoveryengine.v1beta.SearchRequest.EmbeddingSpec embedding_spec = 23;

Parameter
Name Description
value SearchRequest.EmbeddingSpec
Returns
Type Description
SearchRequest.Builder

mergeFrom(SearchRequest other)

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

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

mergeFrom(Message other)

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

mergeImageQuery(SearchRequest.ImageQuery value)

public SearchRequest.Builder mergeImageQuery(SearchRequest.ImageQuery value)

Raw image query.

.google.cloud.discoveryengine.v1beta.SearchRequest.ImageQuery image_query = 19;

Parameter
Name Description
value SearchRequest.ImageQuery
Returns
Type Description
SearchRequest.Builder

mergeQueryExpansionSpec(SearchRequest.QueryExpansionSpec value)

public SearchRequest.Builder mergeQueryExpansionSpec(SearchRequest.QueryExpansionSpec value)

The query expansion specification that specifies the conditions under which query expansion occurs.

.google.cloud.discoveryengine.v1beta.SearchRequest.QueryExpansionSpec query_expansion_spec = 13;

Parameter
Name Description
value SearchRequest.QueryExpansionSpec
Returns
Type Description
SearchRequest.Builder

mergeSpellCorrectionSpec(SearchRequest.SpellCorrectionSpec value)

public SearchRequest.Builder mergeSpellCorrectionSpec(SearchRequest.SpellCorrectionSpec value)

The spell correction specification that specifies the mode under which spell correction takes effect.

.google.cloud.discoveryengine.v1beta.SearchRequest.SpellCorrectionSpec spell_correction_spec = 14;

Parameter
Name Description
value SearchRequest.SpellCorrectionSpec
Returns
Type Description
SearchRequest.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

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

mergeUserInfo(UserInfo value)

public SearchRequest.Builder mergeUserInfo(UserInfo value)

Information about the end user. Highly recommended for analytics. UserInfo.user_agent is used to deduce device_type for analytics.

.google.cloud.discoveryengine.v1beta.UserInfo user_info = 21;

Parameter
Name Description
value UserInfo
Returns
Type Description
SearchRequest.Builder

putAllParams(Map<String,Value> values)

public SearchRequest.Builder putAllParams(Map<String,Value> values)

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

  • 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;

Parameter
Name Description
values Map<String,Value>
Returns
Type Description
SearchRequest.Builder

putAllUserLabels(Map<String,String> values)

public SearchRequest.Builder putAllUserLabels(Map<String,String> values)

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 for more details.

map<string, string> user_labels = 22;

Parameter
Name Description
values Map<String,String>
Returns
Type Description
SearchRequest.Builder

putParams(String key, Value value)

public SearchRequest.Builder putParams(String key, Value value)

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

  • 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;

Parameters
Name Description
key String
value Value
Returns
Type Description
SearchRequest.Builder

putParamsBuilderIfAbsent(String key)

public Value.Builder putParamsBuilderIfAbsent(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

  • 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;

Parameter
Name Description
key String
Returns
Type Description
Builder

putUserLabels(String key, String value)

public SearchRequest.Builder putUserLabels(String key, String value)

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 for more details.

map<string, string> user_labels = 22;

Parameters
Name Description
key String
value String
Returns
Type Description
SearchRequest.Builder

removeDataStoreSpecs(int index)

public SearchRequest.Builder removeDataStoreSpecs(int index)

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

Parameter
Name Description
index int
Returns
Type Description
SearchRequest.Builder

removeFacetSpecs(int index)

public SearchRequest.Builder removeFacetSpecs(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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Parameter
Name Description
index int
Returns
Type Description
SearchRequest.Builder

removeParams(String key)

public SearchRequest.Builder removeParams(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

  • 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;

Parameter
Name Description
key String
Returns
Type Description
SearchRequest.Builder

removeUserLabels(String key)

public SearchRequest.Builder removeUserLabels(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 for more details.

map<string, string> user_labels = 22;

Parameter
Name Description
key String
Returns
Type Description
SearchRequest.Builder

setBoostSpec(SearchRequest.BoostSpec value)

public SearchRequest.Builder setBoostSpec(SearchRequest.BoostSpec value)

Boost specification to boost certain documents. For more information on boosting, see Boosting

.google.cloud.discoveryengine.v1beta.SearchRequest.BoostSpec boost_spec = 10;

Parameter
Name Description
value SearchRequest.BoostSpec
Returns
Type Description
SearchRequest.Builder

setBoostSpec(SearchRequest.BoostSpec.Builder builderForValue)

public SearchRequest.Builder setBoostSpec(SearchRequest.BoostSpec.Builder builderForValue)

Boost specification to boost certain documents. For more information on boosting, see Boosting

.google.cloud.discoveryengine.v1beta.SearchRequest.BoostSpec boost_spec = 10;

Parameter
Name Description
builderForValue SearchRequest.BoostSpec.Builder
Returns
Type Description
SearchRequest.Builder

setBranch(String value)

public SearchRequest.Builder setBranch(String value)

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) = { ... }

Parameter
Name Description
value String

The branch to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setBranchBytes(ByteString value)

public SearchRequest.Builder setBranchBytes(ByteString value)

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) = { ... }

Parameter
Name Description
value ByteString

The bytes for branch to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setCanonicalFilter(String value)

public SearchRequest.Builder setCanonicalFilter(String value)

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.

string canonical_filter = 29;

Parameter
Name Description
value String

The canonicalFilter to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setCanonicalFilterBytes(ByteString value)

public SearchRequest.Builder setCanonicalFilterBytes(ByteString value)

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.

string canonical_filter = 29;

Parameter
Name Description
value ByteString

The bytes for canonicalFilter to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setContentSearchSpec(SearchRequest.ContentSearchSpec value)

public SearchRequest.Builder setContentSearchSpec(SearchRequest.ContentSearchSpec value)

A specification for configuring the behavior of content search.

.google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec content_search_spec = 24;

Parameter
Name Description
value SearchRequest.ContentSearchSpec
Returns
Type Description
SearchRequest.Builder

setContentSearchSpec(SearchRequest.ContentSearchSpec.Builder builderForValue)

public SearchRequest.Builder setContentSearchSpec(SearchRequest.ContentSearchSpec.Builder builderForValue)

A specification for configuring the behavior of content search.

.google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec content_search_spec = 24;

Parameter
Name Description
builderForValue SearchRequest.ContentSearchSpec.Builder
Returns
Type Description
SearchRequest.Builder

setDataStoreSpecs(int index, SearchRequest.DataStoreSpec value)

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

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

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

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

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

Specs defining dataStores to filter on in a search call and configurations for those dataStores. This is only considered for engines with multiple dataStores use case. For single dataStore within an engine, they should use the specs at the top level.

repeated .google.cloud.discoveryengine.v1beta.SearchRequest.DataStoreSpec data_store_specs = 32;

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

setEmbeddingSpec(SearchRequest.EmbeddingSpec value)

public SearchRequest.Builder setEmbeddingSpec(SearchRequest.EmbeddingSpec value)

Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path.

If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path.

.google.cloud.discoveryengine.v1beta.SearchRequest.EmbeddingSpec embedding_spec = 23;

Parameter
Name Description
value SearchRequest.EmbeddingSpec
Returns
Type Description
SearchRequest.Builder

setEmbeddingSpec(SearchRequest.EmbeddingSpec.Builder builderForValue)

public SearchRequest.Builder setEmbeddingSpec(SearchRequest.EmbeddingSpec.Builder builderForValue)

Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path.

If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path.

.google.cloud.discoveryengine.v1beta.SearchRequest.EmbeddingSpec embedding_spec = 23;

Parameter
Name Description
builderForValue SearchRequest.EmbeddingSpec.Builder
Returns
Type Description
SearchRequest.Builder

setFacetSpecs(int index, SearchRequest.FacetSpec value)

public SearchRequest.Builder setFacetSpecs(int index, SearchRequest.FacetSpec value)

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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Parameters
Name Description
index int
value SearchRequest.FacetSpec
Returns
Type Description
SearchRequest.Builder

setFacetSpecs(int index, SearchRequest.FacetSpec.Builder builderForValue)

public SearchRequest.Builder setFacetSpecs(int index, SearchRequest.FacetSpec.Builder builderForValue)

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.v1beta.SearchRequest.FacetSpec facet_specs = 9;

Parameters
Name Description
index int
builderForValue SearchRequest.FacetSpec.Builder
Returns
Type Description
SearchRequest.Builder

setField(Descriptors.FieldDescriptor field, Object value)

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

setFilter(String value)

public SearchRequest.Builder setFilter(String value)

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 = 7;

Parameter
Name Description
value String

The filter to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setFilterBytes(ByteString value)

public SearchRequest.Builder setFilterBytes(ByteString value)

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 = 7;

Parameter
Name Description
value ByteString

The bytes for filter to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setImageQuery(SearchRequest.ImageQuery value)

public SearchRequest.Builder setImageQuery(SearchRequest.ImageQuery value)

Raw image query.

.google.cloud.discoveryengine.v1beta.SearchRequest.ImageQuery image_query = 19;

Parameter
Name Description
value SearchRequest.ImageQuery
Returns
Type Description
SearchRequest.Builder

setImageQuery(SearchRequest.ImageQuery.Builder builderForValue)

public SearchRequest.Builder setImageQuery(SearchRequest.ImageQuery.Builder builderForValue)

Raw image query.

.google.cloud.discoveryengine.v1beta.SearchRequest.ImageQuery image_query = 19;

Parameter
Name Description
builderForValue SearchRequest.ImageQuery.Builder
Returns
Type Description
SearchRequest.Builder

setOffset(int value)

public SearchRequest.Builder setOffset(int value)

A 0-indexed integer that specifies the current offset (that is, starting result location, amongst the Documents deemed by the API as relevant) in search results. This field is only considered if page_token is unset.

If this field is negative, an INVALID_ARGUMENT is returned.

int32 offset = 6;

Parameter
Name Description
value int

The offset to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setOrderBy(String value)

public SearchRequest.Builder setOrderBy(String value)

The order in which documents are returned. Documents can be ordered by a field in an Document object. Leave it unset if ordered by relevance. order_by expression is case-sensitive.

For more information on ordering for retail search, see Ordering

If this field is unrecognizable, an INVALID_ARGUMENT is returned.

string order_by = 8;

Parameter
Name Description
value String

The orderBy to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setOrderByBytes(ByteString value)

public SearchRequest.Builder setOrderByBytes(ByteString value)

The order in which documents are returned. Documents can be ordered by a field in an Document object. Leave it unset if ordered by relevance. order_by expression is case-sensitive.

For more information on ordering for retail search, see Ordering

If this field is unrecognizable, an INVALID_ARGUMENT is returned.

string order_by = 8;

Parameter
Name Description
value ByteString

The bytes for orderBy to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setPageSize(int value)

public SearchRequest.Builder setPageSize(int value)

Maximum number of Documents 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;

Parameter
Name Description
value int

The pageSize to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setPageToken(String value)

public SearchRequest.Builder setPageToken(String value)

A page token received from a previous SearchService.Search call. Provide this to retrieve the subsequent page.

When paginating, all other parameters provided to SearchService.Search must match the call that provided the page token. Otherwise, an INVALID_ARGUMENT error is returned.

string page_token = 5;

Parameter
Name Description
value String

The pageToken to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setPageTokenBytes(ByteString value)

public SearchRequest.Builder setPageTokenBytes(ByteString value)

A page token received from a previous SearchService.Search call. Provide this to retrieve the subsequent page.

When paginating, all other parameters provided to SearchService.Search must match the call that provided the page token. Otherwise, an INVALID_ARGUMENT error is returned.

string page_token = 5;

Parameter
Name Description
value ByteString

The bytes for pageToken to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setQuery(String value)

public SearchRequest.Builder setQuery(String value)

Raw search query.

string query = 3;

Parameter
Name Description
value String

The query to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setQueryBytes(ByteString value)

public SearchRequest.Builder setQueryBytes(ByteString value)

Raw search query.

string query = 3;

Parameter
Name Description
value ByteString

The bytes for query to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setQueryExpansionSpec(SearchRequest.QueryExpansionSpec value)

public SearchRequest.Builder setQueryExpansionSpec(SearchRequest.QueryExpansionSpec value)

The query expansion specification that specifies the conditions under which query expansion occurs.

.google.cloud.discoveryengine.v1beta.SearchRequest.QueryExpansionSpec query_expansion_spec = 13;

Parameter
Name Description
value SearchRequest.QueryExpansionSpec
Returns
Type Description
SearchRequest.Builder

setQueryExpansionSpec(SearchRequest.QueryExpansionSpec.Builder builderForValue)

public SearchRequest.Builder setQueryExpansionSpec(SearchRequest.QueryExpansionSpec.Builder builderForValue)

The query expansion specification that specifies the conditions under which query expansion occurs.

.google.cloud.discoveryengine.v1beta.SearchRequest.QueryExpansionSpec query_expansion_spec = 13;

Parameter
Name Description
builderForValue SearchRequest.QueryExpansionSpec.Builder
Returns
Type Description
SearchRequest.Builder

setRankingExpression(String value)

public SearchRequest.Builder setRankingExpression(String value)

The ranking expression controls the customized ranking on retrieval documents. This overrides ServingConfig.ranking_expression. The ranking expression is a single function or multiple functions that are joint 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).

string ranking_expression = 26;

Parameter
Name Description
value String

The rankingExpression to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setRankingExpressionBytes(ByteString value)

public SearchRequest.Builder setRankingExpressionBytes(ByteString value)

The ranking expression controls the customized ranking on retrieval documents. This overrides ServingConfig.ranking_expression. The ranking expression is a single function or multiple functions that are joint 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).

string ranking_expression = 26;

Parameter
Name Description
value ByteString

The bytes for rankingExpression to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

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

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

setSafeSearch(boolean value)

public SearchRequest.Builder setSafeSearch(boolean value)

Whether to turn on safe search. This is only supported for website search.

bool safe_search = 20;

Parameter
Name Description
value boolean

The safeSearch to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setServingConfig(String value)

public SearchRequest.Builder setServingConfig(String value)

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) = { ... }

Parameter
Name Description
value String

The servingConfig to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setServingConfigBytes(ByteString value)

public SearchRequest.Builder setServingConfigBytes(ByteString value)

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) = { ... }

Parameter
Name Description
value ByteString

The bytes for servingConfig to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setSpellCorrectionSpec(SearchRequest.SpellCorrectionSpec value)

public SearchRequest.Builder setSpellCorrectionSpec(SearchRequest.SpellCorrectionSpec value)

The spell correction specification that specifies the mode under which spell correction takes effect.

.google.cloud.discoveryengine.v1beta.SearchRequest.SpellCorrectionSpec spell_correction_spec = 14;

Parameter
Name Description
value SearchRequest.SpellCorrectionSpec
Returns
Type Description
SearchRequest.Builder

setSpellCorrectionSpec(SearchRequest.SpellCorrectionSpec.Builder builderForValue)

public SearchRequest.Builder setSpellCorrectionSpec(SearchRequest.SpellCorrectionSpec.Builder builderForValue)

The spell correction specification that specifies the mode under which spell correction takes effect.

.google.cloud.discoveryengine.v1beta.SearchRequest.SpellCorrectionSpec spell_correction_spec = 14;

Parameter
Name Description
builderForValue SearchRequest.SpellCorrectionSpec.Builder
Returns
Type Description
SearchRequest.Builder

setUnknownFields(UnknownFieldSet unknownFields)

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

setUserInfo(UserInfo value)

public SearchRequest.Builder setUserInfo(UserInfo value)

Information about the end user. Highly recommended for analytics. UserInfo.user_agent is used to deduce device_type for analytics.

.google.cloud.discoveryengine.v1beta.UserInfo user_info = 21;

Parameter
Name Description
value UserInfo
Returns
Type Description
SearchRequest.Builder

setUserInfo(UserInfo.Builder builderForValue)

public SearchRequest.Builder setUserInfo(UserInfo.Builder builderForValue)

Information about the end user. Highly recommended for analytics. UserInfo.user_agent is used to deduce device_type for analytics.

.google.cloud.discoveryengine.v1beta.UserInfo user_info = 21;

Parameter
Name Description
builderForValue UserInfo.Builder
Returns
Type Description
SearchRequest.Builder

setUserPseudoId(String value)

public SearchRequest.Builder setUserPseudoId(String value)

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 and 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;

Parameter
Name Description
value String

The userPseudoId to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.

setUserPseudoIdBytes(ByteString value)

public SearchRequest.Builder setUserPseudoIdBytes(ByteString value)

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 and 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;

Parameter
Name Description
value ByteString

The bytes for userPseudoId to set.
Returns
Type Description
SearchRequest.Builder

This builder for chaining.