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Retrieval keeps live answers current and accountable.

Callaro can retrieve knowledge during a live call so the AI answers with current, approved information rather than guessing from stale model memory.
1

Detect an information need

The runtime identifies that the current turn requires factual grounding or tenant-specific data.
2

Query the approved knowledge source

Only the configured knowledge base or allowed retrieval surfaces are queried.
3

Return a grounded response

The model uses the retrieved evidence to answer directly and concisely.
4

Log the outcome

Retrieval-backed behavior can be inspected through transcript and trace data for QA and continuous improvement.
Do not give the runtime unrestricted access to large, noisy document sets. Retrieval quality depends on disciplined knowledge curation and publication review.