Knowledge in Applied Insights
Coming soon. This guide describes the first KB-enabled Applied Insights release. Production availability has not yet been confirmed. Use Analyst to inspect knowledge while investigating conversations. Use Widget Builder to save a repeatable comparison with a selected policy, a fixed knowledge search, or a bounded document sample. Each widget refresh fetches its configured sources before optional AI summarization.Before you start
You need access to Applied Insights and an existing Knowledge Base in your organization. Building widgets requires your existing widget-building access. Your administrator must enable the Knowledge Base data source in Applied Insights settings for widgets that use it. Knowledge content and search also require an available Knowledge service. Existing Insights history and widget sharing rules continue to apply. A widget containing knowledge evidence has the same audience as your other widgets. Knowledge management permissions remain unchanged.Explore a policy
In Analyst, try:Build a returns-policy widget
In Widget Builder, try:Limits and failures
- Document listings return up to 50 matches after inspecting at most 100 descriptors per read. Analyst and Builder can continue through pages while exploring; a saved listing source fetches one page per run. An empty partial page does not establish that the Knowledge Base has no matching documents.
- Search returns up to 10 ranked results. Exact content reads return an excerpt of up to 16,000 characters; output-size limits can shorten it further. Search shares the available excerpt space across matches and labels shortened excerpts while retaining their ranking and available source IDs.
- Document update dates describe metadata updates, which may differ from the last substantive change to the article. Unknown dates stay unknown.
- A missing or failed source does not become zero matches. If combined inputs are too large for the summarizer, ask Builder to narrow the sources.
- This first release supports selected evidence and labelled samples. It does not calculate exhaustive stale-article counts, prove that an article was never used, or automatically search knowledge based on findings generated mid-run.

