Self‑RAG
Add a reflect‑then‑retrieve loop: produce a draft, detect missing facts, retrieve extra context, and revise with citations.
What Self-RAG Means for Your Business
Self-RAG reduces costly mistakes by double-checking information before responding. Critical for businesses where wrong answers hurt trust or compliance.
The Self-Correcting AI That Protects Your Business
How It Works
Self-RAG doesn't just answer — it double-checks itself by reflecting on its response, identifying gaps, and retrieving additional information to ensure accuracy.
- • Generates initial answer
- • Self-assesses confidence level
- • Identifies missing information
- • Retrieves additional context
- • Revises with corrections
Real Business Example
Financial Advisory Service:
A financial advisor's AI says "Our minimum investment is $10,000" then double-checks recent policy updates and corrects itself: "Actually, we lowered it to $5,000 last month."
Result: Prevents costly compliance violations and maintains client trust through accurate, up-to-date information.
Bottom Line: Self-RAG is essential for businesses in regulated industries, financial services, healthcare, or any field where accuracy directly impacts customer trust and legal compliance.