Retrieval-Augmented Generation (RAG): Evidence Before Output

RAG connects a model to approved knowledge before it answers. That makes it useful for executives who need traceable decisions, not fluent guesses.

Where RAG Helps

• Customer and employee support grounded in policy
• Legal, compliance, and risk review with cited sources
• Research synthesis across controlled knowledge sets
• Decision preparation for executives and operators

What Must Be Governed

Source quality matters more than model polish. Retrieval should be tested, monitored, and reviewed for stale, missing, or conflicting evidence.

Bottom Line

RAG is not a guarantee of truth. It is an evidence discipline. Treat it like one.