Class GoogleCloudDiscoveryengineV1alphaSearchRequest
Request message for SearchService.Search method.
Implements
Inherited Members
Namespace: Google.Apis.DiscoveryEngine.v1.Data
Assembly: Google.Apis.DiscoveryEngine.v1.dll
Syntax
public class GoogleCloudDiscoveryengineV1alphaSearchRequest : IDirectResponseSchema
Properties
BoostSpec
Boost specification to boost certain documents. For more information on boosting, see Boosting
Declaration
[JsonProperty("boostSpec")]
public virtual GoogleCloudDiscoveryengineV1alphaSearchRequestBoostSpec BoostSpec { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaSearchRequestBoostSpec |
Branch
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.
Declaration
[JsonProperty("branch")]
public virtual string Branch { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
CanonicalFilter
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.
Declaration
[JsonProperty("canonicalFilter")]
public virtual string CanonicalFilter { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
ContentSearchSpec
A specification for configuring the behavior of content search.
Declaration
[JsonProperty("contentSearchSpec")]
public virtual GoogleCloudDiscoveryengineV1alphaSearchRequestContentSearchSpec ContentSearchSpec { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaSearchRequestContentSearchSpec |
CrowdingSpecs
Optional. Crowding specifications for improving result diversity. If multiple CrowdingSpecs are specified,
crowding will be evaluated on each unique combination of the field values, and max_count will be the
maximum value of max_count across all CrowdingSpecs. For example, if the first CrowdingSpec has field =
"color" and max_count = 3, and the second CrowdingSpec has field = "size" and max_count = 2, then
after 3 documents that share the same color AND size have been returned, subsequent ones should be removed
or demoted.
Declaration
[JsonProperty("crowdingSpecs")]
public virtual IList<GoogleCloudDiscoveryengineV1alphaSearchRequestCrowdingSpec> CrowdingSpecs { get; set; }
Property Value
| Type | Description |
|---|---|
| IList<GoogleCloudDiscoveryengineV1alphaSearchRequestCrowdingSpec> |
CustomFineTuningSpec
Custom fine tuning configs. If set, it has higher priority than the configs set in ServingConfig.custom_fine_tuning_spec.
Declaration
[JsonProperty("customFineTuningSpec")]
public virtual GoogleCloudDiscoveryengineV1alphaCustomFineTuningSpec CustomFineTuningSpec { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaCustomFineTuningSpec |
DataStoreSpecs
Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
Declaration
[JsonProperty("dataStoreSpecs")]
public virtual IList<GoogleCloudDiscoveryengineV1alphaSearchRequestDataStoreSpec> DataStoreSpecs { get; set; }
Property Value
| Type | Description |
|---|---|
| IList<GoogleCloudDiscoveryengineV1alphaSearchRequestDataStoreSpec> |
DisplaySpec
Optional. Config for display feature, like match highlighting on search results.
Declaration
[JsonProperty("displaySpec")]
public virtual GoogleCloudDiscoveryengineV1alphaSearchRequestDisplaySpec DisplaySpec { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaSearchRequestDisplaySpec |
ETag
The ETag of the item.
Declaration
public virtual string ETag { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
EmbeddingSpec
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.
Declaration
[JsonProperty("embeddingSpec")]
public virtual GoogleCloudDiscoveryengineV1alphaSearchRequestEmbeddingSpec EmbeddingSpec { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaSearchRequestEmbeddingSpec |
FacetSpecs
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.
Declaration
[JsonProperty("facetSpecs")]
public virtual IList<GoogleCloudDiscoveryengineV1alphaSearchRequestFacetSpec> FacetSpecs { get; set; }
Property Value
| Type | Description |
|---|---|
| IList<GoogleCloudDiscoveryengineV1alphaSearchRequestFacetSpec> |
Filter
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
Declaration
[JsonProperty("filter")]
public virtual string Filter { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
ImageQuery
Raw image query.
Declaration
[JsonProperty("imageQuery")]
public virtual GoogleCloudDiscoveryengineV1alphaSearchRequestImageQuery ImageQuery { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaSearchRequestImageQuery |
LanguageCode
The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see Standard fields. This field helps to better interpret the query. If a value isn't specified, the query language code is automatically detected, which may not be accurate.
Declaration
[JsonProperty("languageCode")]
public virtual string LanguageCode { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
NaturalLanguageQueryUnderstandingSpec
Optional. Config for natural language query understanding capabilities, such as extracting structured field
filters from the query. Refer to this
documentation for more
information. If naturalLanguageQueryUnderstandingSpec is not specified, no additional natural language
query understanding will be done.
Declaration
[JsonProperty("naturalLanguageQueryUnderstandingSpec")]
public virtual GoogleCloudDiscoveryengineV1alphaSearchRequestNaturalLanguageQueryUnderstandingSpec NaturalLanguageQueryUnderstandingSpec { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaSearchRequestNaturalLanguageQueryUnderstandingSpec |
Offset
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. A large offset may be capped to a
reasonable threshold.
Declaration
[JsonProperty("offset")]
public virtual int? Offset { get; set; }
Property Value
| Type | Description |
|---|---|
| int? |
OneBoxPageSize
The maximum number of results to return for OneBox. This applies to each OneBox type individually. Default number is 10.
Declaration
[JsonProperty("oneBoxPageSize")]
public virtual int? OneBoxPageSize { get; set; }
Property Value
| Type | Description |
|---|---|
| int? |
OrderBy
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
the website search results, see Order web search
results. For more
information on ordering the healthcare search results, see Order healthcare search
results. If this field is
unrecognizable, an INVALID_ARGUMENT is returned.
Declaration
[JsonProperty("orderBy")]
public virtual string OrderBy { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
PageCategories
Optional. The categories associated with a category page. Must be set for category navigation queries to
achieve good search quality. The format should be the same as UserEvent.PageInfo.page_category. This field
is the equivalent of the query for browse (navigation) queries. It's used by the browse model when the query
is empty. If the field is empty, it will not be used by the browse model. If the field contains more than
one element, only the first element will be used. To represent full path of a category, use '>'
character to separate different hierarchies. If '>' is part of the category name, replace it with
other character(s). For example, Graphics Cards > RTX>4090 > Founders Edition where
"RTX > 4090" represents one level, can be rewritten as Graphics Cards > RTX_4090 > Founders Edition
Declaration
[JsonProperty("pageCategories")]
public virtual IList<string> PageCategories { get; set; }
Property Value
| Type | Description |
|---|---|
| IList<string> |
PageSize
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, Maximum50. * Other: Default50, Maximum100. If this field is negative, anINVALID_ARGUMENTis returned.
Declaration
[JsonProperty("pageSize")]
public virtual int? PageSize { get; set; }
Property Value
| Type | Description |
|---|---|
| int? |
PageToken
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.
Declaration
[JsonProperty("pageToken")]
public virtual string PageToken { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
Params__
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
Declaration
[JsonProperty("params")]
public virtual IDictionary<string, object> Params__ { get; set; }
Property Value
| Type | Description |
|---|---|
| IDictionary<string, object> |
PersonalizationSpec
The specification for personalization. Notice that if both ServingConfig.personalization_spec and SearchRequest.personalization_spec are set, SearchRequest.personalization_spec overrides ServingConfig.personalization_spec.
Declaration
[JsonProperty("personalizationSpec")]
public virtual GoogleCloudDiscoveryengineV1alphaSearchRequestPersonalizationSpec PersonalizationSpec { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaSearchRequestPersonalizationSpec |
Query
Raw search query.
Declaration
[JsonProperty("query")]
public virtual string Query { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
QueryExpansionSpec
The query expansion specification that specifies the conditions under which query expansion occurs.
Declaration
[JsonProperty("queryExpansionSpec")]
public virtual GoogleCloudDiscoveryengineV1alphaSearchRequestQueryExpansionSpec QueryExpansionSpec { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaSearchRequestQueryExpansionSpec |
RankingExpression
Optional. The ranking expression controls the customized ranking on retrieval documents. This overrides
ServingConfig.ranking_expression. The syntax and supported features depend on the
ranking_expression_backend value. If ranking_expression_backend is not provided, it defaults to
RANK_BY_EMBEDDING. If ranking_expression_backend is not provided or set to RANK_BY_EMBEDDING, it should
be a single function or multiple functions that are joined by "+". * ranking_expression = function, { " + ",
function }; Supported functions: * double * relevance_score * double * dotProduct(embedding_field_path)
Function variables: * relevance_score: pre-defined keywords, used for measure relevance between query and
document. * embedding_field_path: the document embedding field used with query embedding vector. *
dotProduct: embedding function between embedding_field_path and query embedding vector. Example ranking
expression: If document has an embedding field doc_embedding, the ranking expression could be 0.5 * relevance_score + 0.3 * dotProduct(doc_embedding). If ranking_expression_backend is set to
RANK_BY_FORMULA, the following expression types (and combinations of those chained using + or * operators)
are supported: * double * signal * log(signal) * exp(signal) * rr(signal, double > 0) --
reciprocal rank transformation with second argument being a denominator constant. * is_nan(signal) --
returns 0 if signal is NaN, 1 otherwise. * fill_nan(signal1, signal2 | double) -- if signal1 is NaN,
returns signal2 | double, else returns signal1. Here are a few examples of ranking formulas that use the
supported ranking expression types: - 0.2 * semantic_similarity_score + 0.8 * log(keyword_similarity_score) -- mostly rank by the logarithm of keyword_similarity_score with slight
semantic_smilarity_score adjustment. - 0.2 * exp(fill_nan(semantic_similarity_score, 0)) + 0.3 * is_nan(keyword_similarity_score) -- rank by the exponent of semantic_similarity_score filling the value
with 0 if it's NaN, also add constant 0.3 adjustment to the final score if semantic_similarity_score is
NaN. - 0.2 * rr(semantic_similarity_score, 16) + 0.8 * rr(keyword_similarity_score, 16) -- mostly rank by
the reciprocal rank of keyword_similarity_score with slight adjustment of reciprocal rank of
semantic_smilarity_score. The following signals are supported: * semantic_similarity_score: semantic
similarity adjustment that is calculated using the embeddings generated by a proprietary Google model. This
score determines how semantically similar a search query is to a document. * keyword_similarity_score:
keyword match adjustment uses the Best Match 25 (BM25) ranking function. This score is calculated using a
probabilistic model to estimate the probability that a document is relevant to a given query. *
relevance_score: semantic relevance adjustment that uses a proprietary Google model to determine the
meaning and intent behind a user's query in context with the content in the documents. * pctr_rank:
predicted conversion rate adjustment as a rank use predicted Click-through rate (pCTR) to gauge the
relevance and attractiveness of a search result from a user's perspective. A higher pCTR suggests that the
result is more likely to satisfy the user's query and intent, making it a valuable signal for ranking. *
freshness_rank: freshness adjustment as a rank * document_age: The time in hours elapsed since the
document was last updated, a floating-point number (e.g., 0.25 means 15 minutes). * topicality_rank:
topicality adjustment as a rank. Uses proprietary Google model to determine the keyword-based overlap
between the query and the document. * base_rank: the default rank of the result
Declaration
[JsonProperty("rankingExpression")]
public virtual string RankingExpression { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
RankingExpressionBackend
Optional. The backend to use for the ranking expression evaluation.
Declaration
[JsonProperty("rankingExpressionBackend")]
public virtual string RankingExpressionBackend { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
RegionCode
The Unicode country/region code (CLDR) of a location, such as "US" and "419". For more information, see Standard fields. If set, then results will be boosted based on the region_code provided.
Declaration
[JsonProperty("regionCode")]
public virtual string RegionCode { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
RelevanceScoreSpec
Optional. The specification for returning the relevance score.
Declaration
[JsonProperty("relevanceScoreSpec")]
public virtual GoogleCloudDiscoveryengineV1alphaSearchRequestRelevanceScoreSpec RelevanceScoreSpec { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaSearchRequestRelevanceScoreSpec |
RelevanceThreshold
The relevance threshold of the search results. Default to Google defined threshold, leveraging a balance of precision and recall to deliver both highly accurate results and comprehensive coverage of relevant information. This feature is not supported for healthcare search.
Declaration
[JsonProperty("relevanceThreshold")]
public virtual string RelevanceThreshold { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
SafeSearch
Whether to turn on safe search. This is only supported for website search.
Declaration
[JsonProperty("safeSearch")]
public virtual bool? SafeSearch { get; set; }
Property Value
| Type | Description |
|---|---|
| bool? |
SearchAddonSpec
Optional. SearchAddonSpec is used to disable add-ons for search as per new repricing model. This field is only supported for search requests.
Declaration
[JsonProperty("searchAddonSpec")]
public virtual GoogleCloudDiscoveryengineV1alphaSearchRequestSearchAddonSpec SearchAddonSpec { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaSearchRequestSearchAddonSpec |
SearchAsYouTypeSpec
Search as you type configuration. Only supported for the IndustryVertical.MEDIA vertical.
Declaration
[JsonProperty("searchAsYouTypeSpec")]
public virtual GoogleCloudDiscoveryengineV1alphaSearchRequestSearchAsYouTypeSpec SearchAsYouTypeSpec { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaSearchRequestSearchAsYouTypeSpec |
ServingConfig
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.
Declaration
[JsonProperty("servingConfig")]
public virtual string ServingConfig { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
Session
The session resource name. Optional. Session allows users to do multi-turn /search API calls or coordination between /search API calls and /answer API calls. Example #1 (multi-turn /search API calls): Call /search API with the session ID generated in the first call. Here, the previous search query gets considered in query standing. I.e., if the first query is "How did Alphabet do in 2022?" and the current query is "How about 2023?", the current query will be interpreted as "How did Alphabet do in 2023?". Example #2 (coordination between /search API calls and /answer API calls): Call /answer API with the session ID generated in the first call. Here, the answer generation happens in the context of the search results from the first search call. Multi-turn Search feature is currently at private GA stage. Please use v1alpha or v1beta version instead before we launch this feature to public GA. Or ask for allowlisting through Google Support team.
Declaration
[JsonProperty("session")]
public virtual string Session { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
SessionSpec
Session specification. Can be used only when session is set.
Declaration
[JsonProperty("sessionSpec")]
public virtual GoogleCloudDiscoveryengineV1alphaSearchRequestSessionSpec SessionSpec { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaSearchRequestSessionSpec |
SpellCorrectionSpec
The spell correction specification that specifies the mode under which spell correction takes effect.
Declaration
[JsonProperty("spellCorrectionSpec")]
public virtual GoogleCloudDiscoveryengineV1alphaSearchRequestSpellCorrectionSpec SpellCorrectionSpec { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaSearchRequestSpellCorrectionSpec |
UseLatestData
Uses the Engine, ServingConfig and Control freshly read from the database. Note: this skips config cache and introduces dependency on databases, which could significantly increase the API latency. It should only be used for testing, but not serving end users.
Declaration
[JsonProperty("useLatestData")]
public virtual bool? UseLatestData { get; set; }
Property Value
| Type | Description |
|---|---|
| bool? |
UserInfo
Information about the end user. Highly recommended for analytics and personalization. UserInfo.user_agent is
used to deduce device_type for analytics.
Declaration
[JsonProperty("userInfo")]
public virtual GoogleCloudDiscoveryengineV1alphaUserInfo UserInfo { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudDiscoveryengineV1alphaUserInfo |
UserLabels
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.
Declaration
[JsonProperty("userLabels")]
public virtual IDictionary<string, string> UserLabels { get; set; }
Property Value
| Type | Description |
|---|---|
| IDictionary<string, string> |
UserPseudoId
Optional. A unique identifier for tracking visitors. For example, this could be implemented with an HTTP
cookie, which should be able to uniquely identify a visitor on a single device. This unique identifier
should not change if the visitor logs in or out of the website. This field should NOT have a fixed value
such as unknown_visitor. This should be the same identifier as UserEvent.user_pseudo_id 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.
Declaration
[JsonProperty("userPseudoId")]
public virtual string UserPseudoId { get; set; }
Property Value
| Type | Description |
|---|---|
| string |