How to detect AI hallucinations inside n8n — RagMetrics node walkthrough

If you're running LLM outputs through n8n workflows, you probably have no systematic way to verify what the model actually produced. Did it hallucinate? Did it stay grounded in your source data? Was the answer accurate? We just launched a native n8n node for RagMetrics that solves this. How it works 3 nodes and you're evaluating every AI output in your workflow: Trigger → Edit Fields → RagMetrics Evaluation The RagMetrics node accepts: question — the original user query answer — the model-genera