Search Suggestions

You can configure Search Suggestions settings to control the creation of auto-complete suggestions and search suggestions on your instance.

Domain separation is unsupported in the Search Suggestions application. Domain separation enables you to separate data, processes, and administrative tasks into logical groupings called domains. You can control several aspects of this separation, including which users can see and access data.

Learn how Search Suggestions displays suggestions to users in AI Search applications and the Zing text indexing and search engine. Review the rules that dictate which suggestions are offered in each search application and context.

Analyze data from the Search Suggestions tables to understand how your users interact with search.

Several types of components are installed with activation of the Search Suggestions plugin, including tables, user roles, and scheduled jobs.

Search Suggestions limits the number of auto-complete suggestions and search suggestions stored in the Search Suggestion [sys_search_suggestion] table to 500,000. A periodic pruning job removes the least relevant suggestions and increases the overall relevancy of suggestions.

Disable generation of suggestions from specific search strings to keep unhelpful terms from appearing in suggestions or to prevent disclosure of personal or secure information.

Specify when to run the script that builds auto-complete suggestions and search suggestions from user search strings.

The Search Suggestions application uses saved user search data to create auto-complete suggestions for AI Search applications and search suggestions for Zing. These suggestions appear as you enter terms into an application's search field. You can refine your search or jump to a relevant search result by selecting an applicable suggestion.

Reference topics provide additional information about components and domain separation behavior for Search Suggestions.

Set the Auto Flush parameter to limit the age of search strings used to create auto-complete suggestions and search suggestions.

Regular expression patterns are powerful and often require editing to get the correct behavior. When using regular expression patterns to exclude search strings, test the patterns thoroughly so as not to have unintended results.

Search Suggestions uses tables to generate and track relevant search suggestions. You can review data from these tables to gain insight into search suggestions offered in your system.

Search applications display auto-complete suggestions and search suggestions as you type in their search fields. Administrators can analyze data from Search Suggestions tables to learn how users interact with search. Guest users can view suggestions created from self-registered external user searches.

Submit a request to the GraphQL REST API endpoint to retrieve search suggestions created from searches by self-registered external users. This endpoint allows access by non-authenticated guest users.