Class: Google::Cloud::DiscoveryEngine::V1::SearchRequest::ContentSearchSpec::SummarySpec

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/discoveryengine/v1/search_service.rb

Overview

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

Defined Under Namespace

Classes: ModelPromptSpec, ModelSpec

Instance Attribute Summary collapse

Instance Attribute Details

#ignore_adversarial_query::Boolean

Returns 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.

Returns:

  • (::Boolean)

    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.



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# File 'proto_docs/google/cloud/discoveryengine/v1/search_service.rb', line 598

class SummarySpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Specification of the prompt to use with the model.
  # @!attribute [rw] preamble
  #   @return [::String]
  #     Text at the beginning of the prompt that instructs the assistant.
  #     Examples are available in the user guide.
  class ModelPromptSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Specification of the model.
  # @!attribute [rw] version
  #   @return [::String]
  #     The model version used to generate the summary.
  #
  #     Supported values are:
  #
  #     * `stable`: string. Default value when no value is specified. Uses a
  #        generally available, fine-tuned model. For more information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  #     * `preview`: string. (Public preview) Uses a preview model. For more
  #        information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  class ModelSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#ignore_non_summary_seeking_query::Boolean

Returns 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.

Returns:

  • (::Boolean)

    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.



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# File 'proto_docs/google/cloud/discoveryengine/v1/search_service.rb', line 598

class SummarySpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Specification of the prompt to use with the model.
  # @!attribute [rw] preamble
  #   @return [::String]
  #     Text at the beginning of the prompt that instructs the assistant.
  #     Examples are available in the user guide.
  class ModelPromptSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Specification of the model.
  # @!attribute [rw] version
  #   @return [::String]
  #     The model version used to generate the summary.
  #
  #     Supported values are:
  #
  #     * `stable`: string. Default value when no value is specified. Uses a
  #        generally available, fine-tuned model. For more information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  #     * `preview`: string. (Public preview) Uses a preview model. For more
  #        information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  class ModelSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#include_citations::Boolean

Returns 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.

Returns:

  • (::Boolean)

    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.



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# File 'proto_docs/google/cloud/discoveryengine/v1/search_service.rb', line 598

class SummarySpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Specification of the prompt to use with the model.
  # @!attribute [rw] preamble
  #   @return [::String]
  #     Text at the beginning of the prompt that instructs the assistant.
  #     Examples are available in the user guide.
  class ModelPromptSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Specification of the model.
  # @!attribute [rw] version
  #   @return [::String]
  #     The model version used to generate the summary.
  #
  #     Supported values are:
  #
  #     * `stable`: string. Default value when no value is specified. Uses a
  #        generally available, fine-tuned model. For more information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  #     * `preview`: string. (Public preview) Uses a preview model. For more
  #        information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  class ModelSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#language_code::String

Returns Language code for Summary. Use language tags defined by BCP47. Note: This is an experimental feature.

Returns:

  • (::String)

    Language code for Summary. Use language tags defined by BCP47. Note: This is an experimental feature.



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# File 'proto_docs/google/cloud/discoveryengine/v1/search_service.rb', line 598

class SummarySpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Specification of the prompt to use with the model.
  # @!attribute [rw] preamble
  #   @return [::String]
  #     Text at the beginning of the prompt that instructs the assistant.
  #     Examples are available in the user guide.
  class ModelPromptSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Specification of the model.
  # @!attribute [rw] version
  #   @return [::String]
  #     The model version used to generate the summary.
  #
  #     Supported values are:
  #
  #     * `stable`: string. Default value when no value is specified. Uses a
  #        generally available, fine-tuned model. For more information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  #     * `preview`: string. (Public preview) Uses a preview model. For more
  #        information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  class ModelSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#model_prompt_spec::Google::Cloud::DiscoveryEngine::V1::SearchRequest::ContentSearchSpec::SummarySpec::ModelPromptSpec

Returns If specified, the spec will be used to modify the prompt provided to the LLM.

Returns:



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# File 'proto_docs/google/cloud/discoveryengine/v1/search_service.rb', line 598

class SummarySpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Specification of the prompt to use with the model.
  # @!attribute [rw] preamble
  #   @return [::String]
  #     Text at the beginning of the prompt that instructs the assistant.
  #     Examples are available in the user guide.
  class ModelPromptSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Specification of the model.
  # @!attribute [rw] version
  #   @return [::String]
  #     The model version used to generate the summary.
  #
  #     Supported values are:
  #
  #     * `stable`: string. Default value when no value is specified. Uses a
  #        generally available, fine-tuned model. For more information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  #     * `preview`: string. (Public preview) Uses a preview model. For more
  #        information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  class ModelSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#model_spec::Google::Cloud::DiscoveryEngine::V1::SearchRequest::ContentSearchSpec::SummarySpec::ModelSpec

Returns If specified, the spec will be used to modify the model specification provided to the LLM.

Returns:



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# File 'proto_docs/google/cloud/discoveryengine/v1/search_service.rb', line 598

class SummarySpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Specification of the prompt to use with the model.
  # @!attribute [rw] preamble
  #   @return [::String]
  #     Text at the beginning of the prompt that instructs the assistant.
  #     Examples are available in the user guide.
  class ModelPromptSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Specification of the model.
  # @!attribute [rw] version
  #   @return [::String]
  #     The model version used to generate the summary.
  #
  #     Supported values are:
  #
  #     * `stable`: string. Default value when no value is specified. Uses a
  #        generally available, fine-tuned model. For more information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  #     * `preview`: string. (Public preview) Uses a preview model. For more
  #        information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  class ModelSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#summary_result_count::Integer

Returns 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][SearchRequest.ContentSearchSpec.SearchResultMode.CHUNKS].

Returns:

  • (::Integer)

    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][SearchRequest.ContentSearchSpec.SearchResultMode.CHUNKS].



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# File 'proto_docs/google/cloud/discoveryengine/v1/search_service.rb', line 598

class SummarySpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Specification of the prompt to use with the model.
  # @!attribute [rw] preamble
  #   @return [::String]
  #     Text at the beginning of the prompt that instructs the assistant.
  #     Examples are available in the user guide.
  class ModelPromptSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Specification of the model.
  # @!attribute [rw] version
  #   @return [::String]
  #     The model version used to generate the summary.
  #
  #     Supported values are:
  #
  #     * `stable`: string. Default value when no value is specified. Uses a
  #        generally available, fine-tuned model. For more information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  #     * `preview`: string. (Public preview) Uses a preview model. For more
  #        information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  class ModelSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#use_semantic_chunks::Boolean

Returns 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.

Returns:

  • (::Boolean)

    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.



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# File 'proto_docs/google/cloud/discoveryengine/v1/search_service.rb', line 598

class SummarySpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Specification of the prompt to use with the model.
  # @!attribute [rw] preamble
  #   @return [::String]
  #     Text at the beginning of the prompt that instructs the assistant.
  #     Examples are available in the user guide.
  class ModelPromptSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Specification of the model.
  # @!attribute [rw] version
  #   @return [::String]
  #     The model version used to generate the summary.
  #
  #     Supported values are:
  #
  #     * `stable`: string. Default value when no value is specified. Uses a
  #        generally available, fine-tuned model. For more information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  #     * `preview`: string. (Public preview) Uses a preview model. For more
  #        information, see
  #        [Answer generation model versions and
  #        lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
  class ModelSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end