SearchRequest.ContentSearchSpec.SummarySpecOrBuilder (proto-google-cloud-discoveryengine-v1beta 0.53.0 API)

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

SearchRequest.ContentSearchSpec.SummarySpec, SearchRequest.ContentSearchSpec.SummarySpec.Builder

Enclosing class:

SearchRequest.ContentSearchSpec
```
public static interface SearchRequest.ContentSearchSpec.SummarySpecOrBuilder
extends com.google.protobuf.MessageOrBuilder
```

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method and Description
`boolean`	`getIgnoreAdversarialQuery()` Specifies whether to filter out adversarial queries.
`boolean`	`getIgnoreJailBreakingQuery()` Optional.
`boolean`	`getIgnoreLowRelevantContent()` Specifies whether to filter out queries that have low relevance.
`boolean`	`getIgnoreNonSummarySeekingQuery()` Specifies whether to filter out queries that are not summary-seeking.
`boolean`	`getIncludeCitations()` Specifies whether to include citations in the summary.
`String`	`getLanguageCode()` Language code for Summary.
`com.google.protobuf.ByteString`	`getLanguageCodeBytes()` Language code for Summary.
`SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpec`	`getModelPromptSpec()` If specified, the spec will be used to modify the prompt provided to the LLM.
`SearchRequest.ContentSearchSpec.SummarySpec.ModelPromptSpecOrBuilder`	`getModelPromptSpecOrBuilder()` If specified, the spec will be used to modify the prompt provided to the LLM.
`SearchRequest.ContentSearchSpec.SummarySpec.ModelSpec`	`getModelSpec()` If specified, the spec will be used to modify the model specification provided to the LLM.
`SearchRequest.ContentSearchSpec.SummarySpec.ModelSpecOrBuilder`	`getModelSpecOrBuilder()` If specified, the spec will be used to modify the model specification provided to the LLM.
`int`	`getSummaryResultCount()` The number of top results to generate the summary from.
`boolean`	`getUseSemanticChunks()` If true, answer will be generated from most relevant chunks from top search results.
`boolean`	`hasModelPromptSpec()` If specified, the spec will be used to modify the prompt provided to the LLM.
`boolean`	`hasModelSpec()` If specified, the spec will be used to modify the model specification provided to the LLM.

Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder
isInitialized

Method Detail

getSummaryResultCount

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][google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec.search_result_mode]
 is set to
 [CHUNKS][google.cloud.discoveryengine.v1beta.SearchRequest.ContentSearchSpec.SearchResultMode.CHUNKS].

int32 summary_result_count = 1;

Returns:: The summaryResultCount.

getIncludeCitations

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:: The includeCitations.

getIgnoreAdversarialQuery

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:: The ignoreAdversarialQuery.

getIgnoreNonSummarySeekingQuery

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:: The ignoreNonSummarySeekingQuery.

getIgnoreLowRelevantContent

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:: The ignoreLowRelevantContent.

getIgnoreJailBreakingQuery

boolean getIgnoreJailBreakingQuery()

 Optional. Specifies whether to filter out jail-breaking queries. The
 default value is `false`.

 Google employs search-query classification to detect jail-breaking
 queries. No summary is returned if the search query is classified as a
 jail-breaking query. A user might add instructions to the query to
 change the tone, style, language, content of the answer, or ask the
 model to act as a different entity, e.g. "Reply in the tone of a
 competing company's CEO". If this field is set to `true`, we skip
 generating summaries for jail-breaking queries and return fallback
 messages instead.

bool ignore_jail_breaking_query = 10 [(.google.api.field_behavior) = OPTIONAL];

Returns:: The ignoreJailBreakingQuery.

hasModelPromptSpec
```
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:

Whether the modelPromptSpec field is set.

getModelPromptSpec

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:: The modelPromptSpec.

getModelPromptSpecOrBuilder

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;

getLanguageCode

String getLanguageCode()

 Language code for Summary. Use language tags defined by
 [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).
 Note: This is an experimental feature.

string language_code = 6;

Returns:: The languageCode.

getLanguageCodeBytes

com.google.protobuf.ByteString getLanguageCodeBytes()

 Language code for Summary. Use language tags defined by
 [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).
 Note: This is an experimental feature.

string language_code = 6;

Returns:: The bytes for languageCode.

hasModelSpec
```
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:

Whether the modelSpec field is set.

getModelSpec

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:: The modelSpec.

getModelSpecOrBuilder

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;

getUseSemanticChunks

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:: The useSemanticChunks.

Interface SearchRequest.ContentSearchSpec.SummarySpecOrBuilder