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.
Knowledge quality checklist
- Keep sources scoped by tenant/domain and publish state.
- Remove stale or duplicate documents that compete for the same intent.
- Include versioned process documents for policy-sensitive answers.
- Audit retrieval-backed transcripts to identify missing knowledge coverage.