Interface SearchRequest.ContentSearchSpec.SummarySpecOrBuilder (0.49.0)

Version 0.49.0

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public static interface SearchRequest.ContentSearchSpec.SummarySpecOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getIgnoreAdversarialQuery()

public abstract boolean getIgnoreAdversarialQuery()

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.

bool ignore_adversarial_query = 3;

Returns
Type	Description
boolean	The ignoreAdversarialQuery.

getIgnoreLowRelevantContent()

public abstract boolean getIgnoreLowRelevantContent()

Specifies whether to filter out queries that have low relevance. The default value is false.

If this field is set to false, all search results are used regardless of relevance to generate answers. If set to true, only queries with high relevance search results will generate answers.

bool ignore_low_relevant_content = 9;

Returns
Type	Description
boolean	The ignoreLowRelevantContent.

getIgnoreNonSummarySeekingQuery()

public abstract boolean getIgnoreNonSummarySeekingQuery()

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.

bool ignore_non_summary_seeking_query = 4;

Returns
Type	Description
boolean	The ignoreNonSummarySeekingQuery.

getIncludeCitations()

public abstract boolean getIncludeCitations()

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.

bool include_citations = 2;

Returns
Type	Description
boolean	The includeCitations.

getLanguageCode()

public abstract String getLanguageCode()

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

string language_code = 6;

Returns
Type	Description
String	The languageCode.

getLanguageCodeBytes()

public abstract ByteString getLanguageCodeBytes()

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

string language_code = 6;

Returns
Type	Description
ByteString	The bytes for languageCode.

getModelPromptSpec()

public abstract SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpec getModelPromptSpec()

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

.google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpec model_prompt_spec = 5;

Returns
Type	Description
SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpec	The modelPromptSpec.

getModelPromptSpecOrBuilder()

public abstract SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpecOrBuilder getModelPromptSpecOrBuilder()

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

.google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpec model_prompt_spec = 5;

Returns
Type	Description
SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpecOrBuilder

getModelSpec()

public abstract SearchRequest.ContentSearchSpec.SummarySpec.ModelSpec getModelSpec()

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

.google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec.SummarySpec.ModelSpec model_spec = 7;

Returns
Type	Description
SearchRequest.ContentSearchSpec.SummarySpec.ModelSpec	The modelSpec.

getModelSpecOrBuilder()

public abstract SearchRequest.ContentSearchSpec.SummarySpec.ModelSpecOrBuilder getModelSpecOrBuilder()

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

.google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec.SummarySpec.ModelSpec model_spec = 7;

Returns
Type	Description
SearchRequest.ContentSearchSpec.SummarySpec.ModelSpecOrBuilder

getSummaryResultCount()

public abstract int getSummaryResultCount()

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.

int32 summary_result_count = 1;

Returns
Type	Description
int	The summaryResultCount.

getUseSemanticChunks()

public abstract boolean getUseSemanticChunks()

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.

bool use_semantic_chunks = 8;

Returns
Type	Description
boolean	The useSemanticChunks.

hasModelPromptSpec()

public abstract boolean hasModelPromptSpec()

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

.google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpec model_prompt_spec = 5;

Returns
Type	Description
boolean	Whether the modelPromptSpec field is set.

hasModelSpec()

public abstract boolean hasModelSpec()

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

.google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec.SummarySpec.ModelSpec model_spec = 7;

Returns
Type	Description
boolean	Whether the modelSpec field is set.