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    • Re-training and metrics
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Guides3. Knowledge & SourcesRe-training and metrics
Chapter 3 · Knowledge & Sources

Re-training and metrics

When to re-train, how to read knowledge metrics, and what good looks like.

4 min read

Sources index automatically when added. Most teams never need to manually re-train. But knowing how it works — and what the metrics mean — helps you spot quality issues early.

When does re-training happen automatically?

  • When you add a new source
  • When you edit a text or Q&A source
  • When you re-crawl a URL source
  • When you re-upload a file

Each happens in seconds. There's no batch nightly job — your changes are live as soon as the indicator turns green.

When to manually re-train

Click the Re-train button in the agent's Sources tab if:

  • You've made many source changes at once and want to be sure
  • You've changed the model and want a fresh index
  • An indexing error appears in the source list

Knowledge metrics

Open the agent's Dashboard tab and look for the Knowledge section. You'll see:

  • Sources count — total active sources
  • Knowledge size — how many indexed passages (chunks)
  • Last trained — when the index was last updated
  • Coverage (when shown) — how often customer questions were grounded in your sources vs answered from the model's general knowledge
Tip
Coverage is the metric to watch. If it drops below 60%, your sources aren't keeping up with what customers ask. Time to add more.

Cleaning up

Over time you'll accumulate stale sources. A monthly review:

  1. Sort sources by date added (oldest first)
  2. For each: ask "is this still accurate?"
  3. Delete or replace anything that isn't

Source priority

When two sources contain conflicting information, the agent picks whichever is more relevant to the question — but you can't entirely predict which. The fix is to delete the wrong source so there's only one right answer in the index.

Previous · Knowledge & SourcesQ&A pairsNext · Agent actions & ToolsTools & actions overview
Chatzuri

AI-powered agents are transforming customer interactions by providing instant, intelligent responses around the clock. They help businesses reduce operational costs, improve response times, and scale support without compromising quality. These agents understand natural language, learn from conversations, and integrate with existing systems to offer personalized experiences that enhance customer satisfaction and loyalty.

Chatzuri

AI-powered agents are transforming customer interactions by providing instant, intelligent responses around the clock. They help businesses reduce operational costs, improve response times, and scale support without compromising quality. These agents understand natural language, learn from conversations, and integrate with existing systems to offer personalized experiences that enhance customer satisfaction and loyalty.

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