Class: Google::Apis::DiscoveryengineV1::GoogleCloudDiscoveryengineV1SearchRequestContentSearchSpecSummarySpec

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/discoveryengine_v1/classes.rb,
lib/google/apis/discoveryengine_v1/representations.rb,
lib/google/apis/discoveryengine_v1/representations.rb

Overview

A specification for configuring a summary returned in a search response.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudDiscoveryengineV1SearchRequestContentSearchSpecSummarySpec

Returns a new instance of GoogleCloudDiscoveryengineV1SearchRequestContentSearchSpecSummarySpec.



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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 5307

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#ignore_adversarial_query ⇒ Boolean Also known as: ignore_adversarial_query?

Specifies whether to filter out adversarial queries. The default value is false. Google employs search-query classification to detect adversarial queries. No summary is returned if the search query is classified as an adversarial query. For example, a user might ask a question regarding negative comments about the company or submit a query designed to generate unsafe, policy-violating output. If this field is set to true, we skip generating summaries for adversarial queries and return fallback messages instead. Corresponds to the JSON property ignoreAdversarialQuery

Returns:

  • (Boolean) 


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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 5241

def ignore_adversarial_query
  @ignore_adversarial_query
end

#ignore_non_summary_seeking_query ⇒ Boolean Also known as: ignore_non_summary_seeking_query?

Specifies whether to filter out queries that are not summary-seeking. The default value is false. Google employs search-query classification to detect summary-seeking queries. No summary is returned if the search query is classified as a non-summary seeking query. For example, why is the sky blue and Who is the best soccer player in the world? are summary-seeking queries, but SFO airport and world cup 2026 are not. They are most likely navigational queries. If this field is set to true, we skip generating summaries for non-summary seeking queries and return fallback messages instead. Corresponds to the JSON property ignoreNonSummarySeekingQuery

Returns:

  • (Boolean) 


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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 5254

def ignore_non_summary_seeking_query
  @ignore_non_summary_seeking_query
end

#include_citations ⇒ Boolean Also known as: include_citations?

Specifies whether to include citations in the summary. The default value is false. When this field is set to true, summaries include in-line citation numbers. Example summary including citations: BigQuery is Google Cloud's fully managed and completely serverless enterprise data warehouse [1]. BigQuery supports all data types, works across clouds, and has built-in machine learning and business intelligence, all within a unified platform [2, 3]. The citation numbers refer to the returned search results and are 1-indexed. For example, [1] means that the sentence is attributed to the first search result. [2, 3] means that the sentence is attributed to both the second and third search results. Corresponds to the JSON property includeCitations

Returns:

  • (Boolean) 


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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 5269

def include_citations
  @include_citations
end

#language_code ⇒ String

Language code for Summary. Use language tags defined by BCP47. Note: This is an experimental feature. Corresponds to the JSON property languageCode

Returns:

  • (String) 


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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 5276

def language_code
  @language_code
end

#model_prompt_spec ⇒ Google::Apis::DiscoveryengineV1::GoogleCloudDiscoveryengineV1SearchRequestContentSearchSpecSummarySpecModelPromptSpec

Specification of the prompt to use with the model. Corresponds to the JSON property modelPromptSpec

Returns:



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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 5281

def model_prompt_spec
  @model_prompt_spec
end

#model_spec ⇒ Google::Apis::DiscoveryengineV1::GoogleCloudDiscoveryengineV1SearchRequestContentSearchSpecSummarySpecModelSpec

Specification of the model. Corresponds to the JSON property modelSpec

Returns:



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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 5286

def model_spec
  @model_spec
end

#summary_result_count ⇒ Fixnum

The number of top results to generate the summary from. If the number of results returned is less than summaryResultCount, the summary is generated from all of the results. At most 10 results for documents mode, or 50 for chunks mode, can be used to generate a summary. The chunks mode is used when SearchRequest.ContentSearchSpec.search_result_mode is set to CHUNKS. Corresponds to the JSON property summaryResultCount

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 5295

def summary_result_count
  @summary_result_count
end

#use_semantic_chunks ⇒ Boolean Also known as: use_semantic_chunks?

If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list. Corresponds to the JSON property useSemanticChunks

Returns:

  • (Boolean) 


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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 5304

def use_semantic_chunks
  @use_semantic_chunks
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/discoveryengine_v1/classes.rb', line 5312

def update!(**args)
  @ignore_adversarial_query = args[:ignore_adversarial_query] if args.key?(:ignore_adversarial_query)
  @ignore_non_summary_seeking_query = args[:ignore_non_summary_seeking_query] if args.key?(:ignore_non_summary_seeking_query)
  @include_citations = args[:include_citations] if args.key?(:include_citations)
  @language_code = args[:language_code] if args.key?(:language_code)
  @model_prompt_spec = args[:model_prompt_spec] if args.key?(:model_prompt_spec)
  @model_spec = args[:model_spec] if args.key?(:model_spec)
  @summary_result_count = args[:summary_result_count] if args.key?(:summary_result_count)
  @use_semantic_chunks = args[:use_semantic_chunks] if args.key?(:use_semantic_chunks)
end