In this detailed workflow, Nate Herk demonstrates a RAG (Retrieval-Augmented Generation) system that compares three AI models—GPT-4o, Claude 3.5, and Gemini Flash 2.0. The n8n-based setup integrates vector database queries to fetch Nvidia financial data and uses dynamic tool calls to generate, evaluate, and grade responses over multiple parameters such as speed, query understanding, and context management. The free template is available via his Skool community.

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