ContentSearchSpec

A specification for configuring the behavior of content search.

JSON representation 
{
  "snippetSpec": {
    object (SnippetSpec)
  },
  "summarySpec": {
    object (SummarySpec)
  },
  "extractiveContentSpec": {
    object (ExtractiveContentSpec)
  },
  "searchResultMode": enum (SearchResultMode),
  "chunkSpec": {
    object (ChunkSpec)
  }
}
Fields
snippetSpec

object (SnippetSpec)

If snippetSpec is not specified, snippets are not included in the search response.
summarySpec

object (SummarySpec)

If summarySpec is not specified, summaries are not included in the search response.
extractiveContentSpec

object (ExtractiveContentSpec)

If there is no extractiveContentSpec provided, there will be no extractive answer in the search response.
searchResultMode

enum (SearchResultMode)

Specifies the search result mode. If unspecified, the search result mode defaults to DOCUMENTS.
chunkSpec

object (ChunkSpec)

Specifies the chunk spec to be returned from the search response. Only available if the SearchRequest.ContentSearchSpec.search_result_mode is set to CHUNKS

SnippetSpec

A specification for configuring snippets in a search response.

JSON representation 
{
  "maxSnippetCount": integer,
  "referenceOnly": boolean,
  "returnSnippet": boolean
}
Fields
maxSnippetCount
(deprecated)

integer

[DEPRECATED] This field is deprecated. To control snippet return, use returnSnippet field. For backwards compatibility, we will return snippet if maxSnippetCount > 0.
referenceOnly
(deprecated)

boolean

[DEPRECATED] This field is deprecated and will have no affect on the snippet.
returnSnippet

boolean

If true, then return snippet. If no snippet can be generated, we return "No snippet is available for this page." A snippetStatus with SUCCESS or NO_SNIPPET_AVAILABLE will also be returned.

SummarySpec

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

JSON representation 
{
  "summaryResultCount": integer,
  "includeCitations": boolean,
  "ignoreAdversarialQuery": boolean,
  "ignoreNonSummarySeekingQuery": boolean,
  "ignoreLowRelevantContent": boolean,
  "ignoreJailBreakingQuery": boolean,
  "modelPromptSpec": {
    object (ModelPromptSpec)
  },
  "languageCode": string,
  "modelSpec": {
    object (ModelSpec)
  },
  "useSemanticChunks": boolean
}
Fields
summaryResultCount

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.
includeCitations

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.
ignoreAdversarialQuery

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.
ignoreNonSummarySeekingQuery

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.
ignoreLowRelevantContent

boolean

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.
ignoreJailBreakingQuery

boolean

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.
modelPromptSpec

object (ModelPromptSpec)

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

string

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

object (ModelSpec)

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

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.

ModelPromptSpec

Specification of the prompt to use with the model.

JSON representation 
{
  "preamble": string
}
Fields
preamble

string

Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.

ModelSpec

Specification of the model.

JSON representation 
{
  "version": string
}
Fields
version

string

The model version used to generate the summary.

Supported values are:

ExtractiveContentSpec

A specification for configuring the extractive content in a search response.

JSON representation 
{
  "maxExtractiveAnswerCount": integer,
  "maxExtractiveSegmentCount": integer,
  "returnExtractiveSegmentScore": boolean,
  "numPreviousSegments": integer,
  "numNextSegments": integer
}
Fields
maxExtractiveAnswerCount

integer

The maximum number of extractive answers returned in each search result.

An extractive answer is a verbatim answer extracted from the original document, which provides a precise and contextually relevant answer to the search query.

If the number of matching answers is less than the maxExtractiveAnswerCount, return all of the answers. Otherwise, return the maxExtractiveAnswerCount.

At most five answers are returned for each SearchResult.
maxExtractiveSegmentCount

integer

The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT.

An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers.

If the number of matching segments is less than maxExtractiveSegmentCount, return all of the segments. Otherwise, return the maxExtractiveSegmentCount.
returnExtractiveSegmentScore

boolean

Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, contact your Customer Engineer. The default value is false.
numPreviousSegments

integer

Specifies whether to also include the adjacent from each selected segments. Return at most numPreviousSegments segments before each selected segments.
numNextSegments

integer

Return at most numNextSegments segments after each selected segments.

SearchResultMode

Specifies the search result mode. If unspecified, the search result mode defaults to DOCUMENTS.

Enums
SEARCH_RESULT_MODE_UNSPECIFIED Default value.
DOCUMENTS Returns documents in the search result.
CHUNKS Returns chunks in the search result. Only available if the [DataStore.DocumentProcessingConfig.chunking_config][] is specified.

ChunkSpec

Specifies the chunk spec to be returned from the search response. Only available if the SearchRequest.ContentSearchSpec.search_result_mode is set to CHUNKS

JSON representation 
{
  "numPreviousChunks": integer,
  "numNextChunks": integer
}
Fields
numPreviousChunks

integer

The number of previous chunks to be returned of the current chunk. The maximum allowed value is 3. If not specified, no previous chunks will be returned.
numNextChunks

integer

The number of next chunks to be returned of the current chunk. The maximum allowed value is 3. If not specified, no next chunks will be returned.