A RAG system can still hallucinate when the correct passage is not retrieved, the retrieved context is incomplete, the source is outdated, or the model generates claims that go beyond the supplied evidence.
Better AI answers start with better instructions. Learn how to structure prompts with the right task, context, evidence, constraints, output requirements, and uncertainty rules.
AI can produce plausible answers and even real-looking citations. Learn how to verify important claims using authoritative sources, scope, freshness, corroboration and a practical evidence ledger.
AI hallucinations are plausible but false outputs that can look authoritative. Learn why they happen, where the risk is highest, why RAG does not solve everything, and how to reduce the risk.