Teach Your AI Agents How to Think | n8n and Reasoning Graphs

Learn how to use https://infranodus.com with n8n to teach your AI agents how to think using the knowledge graph that defines the reasoning ontology. Most of the n8n AI agent workflows help the model find what to think using the standard RAG worflows. In this tutorial, we're using a different approach: we're giving the n8n workflow access to a reasoning ontology that defines how the AI agent should think, so that it augment its response to the user with this extra understanding of the reasoning logic. To download the template: https://github.com/infranodus/n8n-infranodus-workflow-templates/blob/main/graphrag-chatbots-experts/reasoning-expert-graph-ontology.json To learn how it works: https://support.noduslabs.com/hc/en-us/articles/21429518472988-Using-Knowledge-Graphs-as-Reasoning-Experts To auto-generate your own AI ontology: https://infranodus.com/import/ai-ontologies Timecodes: 0:00 Teach AI agent how to think (not only what to think) 0:45 “It’s like you have access to external brain” 1:17 Demonstration how AI reasoning works 4:25 How to build your reasoning AI agent workflow in n8n 08:41 Connecting the reasoning logic expert via InfraNodus 10:30 How to generate a reasoning ontology in InfraNodus 12:11 Manual building of reasoning ontology 15:25 Prompt augmentation and inter-disciplinary logic