Building with Reasoning LLMs - n8n Agentic RAG Demo and Template

Learn to build sophisticated AI applications using reasoning large language models (LLMs) through a comprehensive tutorial that demonstrates practical implementation with n8n. Explore the fundamental concepts of reasoning LLMs and discover key design patterns that enhance their problem-solving capabilities. Understand the concept of Agentic RAG (Retrieval-Augmented Generation) and how it differs from traditional RAG approaches. Follow along with a detailed hands-on demonstration showing how to create an Agentic RAG system using n8n's visual workflow builder, complete with a ready-to-use template. Gain insights into integrating multiple AI technologies including ChatGPT and Gemini models to create more intelligent and autonomous AI agents. The session concludes with a Q&A segment addressing common implementation challenges and best practices for building production-ready AI systems.