Custom AI Agent Reasoning with GraphRAG & Knowledge Ontology

This n8n workflow empowers AI agents to adopt specific reasoning logics defined by you, rather than generic responses. Using the n8n AI Agent node as an orchestrator, it integrates with InfraNodus knowledge graphs to extract relevant ontology-based reasoning rules via GraphRAG traversal. When a user submits a query through a web form, webhook, or chat interface (e.g., Telegram/WhatsApp), the agent queries the graph for contextually pertinent advice and patterns, then crafts a response infused with that logic.

Key benefits include creating specialized agents: a chatbot mastering 'Getting to Yes' negotiation, an investment spotter using Ray Dalio's principles, or interdisciplinary crews blending psychology with education advice. It saves development time by externalizing reasoning into reusable graphs, ensuring consistent, expert-level outputs across queries.

Use cases span commerce and beyond: procurement agents evaluating supplier risks with custom ontologies, sales bots persuading via proven methods, or R&D teams generating innovative ideas through structured interdisciplinary reasoning. The workflow handles input processing, graph querying, logic extraction, and response generation seamlessly, making advanced AI accessible in n8n.