Result: By the end of this guide you'll have an n8n-driven workflow that pulls answers from your documentation via Retrieval-Augmented Generation (RAG), delivers them through a chat widget, and automatically creates a ticket when confidence is low. The system runs 24/7, reduces repetitive human ...
Source: [Dev.to](https://dev.to/samchenreviews/how-to-automate-customer-support-with-ai-build-a-rag-powered-chatbot-that-knows-when-to-escalate-2789)