Corrective RAG

Prevents embarrassing mistakes by automatically re-checking questionable information.

What Corrective RAG Means for Your Business

Corrective RAG prevents embarrassing mistakes by automatically re-checking questionable information before it reaches your customers.

The AI That Catches Its Own Mistakes

How It Works

Corrective RAG doesn't just provide information β€” it actively monitors for potential errors, suspicious data, or outdated information, then automatically re-verifies before responding.

  • β€’ Detects suspicious information
  • β€’ Automatically re-verifies data
  • β€’ Prevents outdated responses
  • β€’ Maintains data quality
  • β€’ Protects brand reputation

Real Business Example

E-commerce Pricing:

E-commerce AI finds outdated "$299 price" for a product, detects it's suspicious, re-searches, and finds current "$199 sale price."

Result: Prevents customers from seeing outdated pricing that could damage trust, while ensuring they get accurate, current information that drives sales.

Bottom Line: Corrective RAG is essential for businesses where data accuracy directly impacts customer trust, sales, or compliance β€” particularly e-commerce, financial services, and any business with frequently changing information.

Claim extraction
Turn answer statements into verifiable claims.
Evidence search
Retrieve supporting or contradicting sources for each claim.
Repair policy
Replace or remove unsupported claims and add citations.
Audit trail
Log claim/evidence pairs for compliance review.

Increase trust with evidence‑backed outputs

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