Managing indexed sources from the AI Search Admin
console
Release version: Australia
Updated March 12, 2026
1 minute to read
If you have the ais_admin role, you can create, view, or edit indexed sources directly from the AI Search Admin
console.
Indexed sources overview
Indexed sources are ServiceNow AI Platform® tables and external documents that you want to make searchable. AI Search then adds the content from these sources to its search index. The configuration for the indexed sources is shared by AI Search and other applications. For more information, see Indexed sources in AI Search. Figure 1. Indexed sources table
The following example shows the indexed sources configuration table in the Shared Configuration tab of the AI Search Admin
console.
From
here, you can view,
edit,
or create indexed
sources.
Indexed sources table
The Indexed sources configuration table
displays key details of existing indexed
source, such as name, source table, type, status, and more.
Table 1. Indexed sources table
Field
Description
Name
Unique name of the indexed source.
Source table
ServiceNow AI Platform table to index.
Type
Type of the source table selected for indexing. It can be either an internal ServiceNow AI Platform table or an external document.
Overall status
Status of the indexed source:
Inactive
The indexed source isn't
searchable and overrides other statuses.
Never indexed
The indexed source is active, but it has never been full indexed. This status can be combined with the Reindex required status.
Index in progress
The indexed source is being indexed manually.
Reindex required
The indexed source configuration is updated and the source must be indexed again.
Active
The index is active and no changes have been made to the configuration since the last full index.
Indexing method
Methods used in information retrieval systems, such as AI Search to organize and retrieve text-based data by selecting either keyword or semantic:
Keyword
Helps to identify and
index-specific keywords or
phrases from the text.
Semantic
An advanced semantic vector search that goes beyond keywords. This method helps to understand the meaning or context of words within a document.
Semantic fields
Name of the fields that are configured to index for a semantic vector search.