# Verified knowledge

**Source:** https://promtable.com/glossary/verified-knowledge

> Verified knowledge is a curated corpus of facts that have been confirmed by humans or trusted sources — used to ground LLM answers and to detect hallucinations against a known-good baseline.

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Verified knowledge is a curated corpus of facts that have been confirmed by humans or trusted sources — used to ground LLM answers and to detect hallucinations against a known-good baseline.

By 2026 several production LLM teams maintain verified-knowledge stores separate from their general RAG corpora: high-confidence facts (product specs, pricing, official documentation) curated and timestamped by humans. When a user asks a factual question, the system retrieves from verified knowledge first; only if no match does it fall back to general retrieval or pure model knowledge. The pattern materially reduces hallucination on facts the org cares most about. Stored typically as a graph or key-value layer rather than chunked documents.

## When to use

- Customer-facing answers where wrong facts are costly.
- Domain-specific assistants over proprietary product knowledge.

## Common mistakes

- Letting verified knowledge go stale — wrong with confidence is worse than uncertain.
- Not tracking what's verified vs unverified in the answer.

## Related terms

- [rag](https://promtable.com/glossary/rag)
- [grounding](https://promtable.com/glossary/grounding)
- [hallucination](https://promtable.com/glossary/hallucination)
- [guardrails](https://promtable.com/glossary/guardrails)

*Last updated: 2026-06-01*
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Original page: https://promtable.com/glossary/verified-knowledge
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