Interface SearchRequestOrBuilder (0.37.0)

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. 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. Example: search_type: 1

map<string, .google.protobuf.Value> params = 11;

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;

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

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

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

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

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) = { ... }

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) = { ... }

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;

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;

A specification for configuring the behavior of content search.

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

A specification for configuring the behavior of content search.

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

A list of data store specs to apply on a search call.

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

A list of data store specs to apply on a search call.

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

A list of data store specs to apply on a search call.

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

A list of data store specs to apply on a search call.

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

A list of data store specs to apply on a search call.

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

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;

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;

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;

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;

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;

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;

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;

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;

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;

Raw image query.

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

Raw image query.

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

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;

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, see Ordering

If this field is unrecognizable, an INVALID_ARGUMENT is returned.

string order_by = 8;

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, see Ordering

If this field is unrecognizable, an INVALID_ARGUMENT is returned.

string order_by = 8;

Maximum number of Documents to return. If unspecified, defaults to a reasonable value. The maximum allowed value is 100. Values above 100 are coerced to 100.

If this field is negative, an INVALID_ARGUMENT is returned.

int32 page_size = 4;

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;

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;

Use #getParamsMap() instead.

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. 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. Example: search_type: 1

map<string, .google.protobuf.Value> params = 11;

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. 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. Example: search_type: 1

map<string, .google.protobuf.Value> params = 11;

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. 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. Example: search_type: 1

map<string, .google.protobuf.Value> params = 11;

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. 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. Example: search_type: 1

map<string, .google.protobuf.Value> params = 11;

Raw search query.

string query = 3;

Raw search query.

string query = 3;

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

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

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

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

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;

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;

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

bool safe_search = 20;

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) = { ... }

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) = { ... }

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

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

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

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

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;

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;

Use #getUserLabelsMap() instead.

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;

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;

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;

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;

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;

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;

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

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

A specification for configuring the behavior of content search.

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

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;

Raw image query.

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

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

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

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

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

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;