Killing AI Hallucinations from Fashion Retail to Banking Infrastructure

AI agents hallucinate when they lack a reliable model of what exists, how entities connect, and which relationships they can use. Schema-first GraphRAG helps solve this by grounding agents in defined ontologies, real enterprise data, and structured graph queries.

In this on-demand technical session, Max Latey from Pinboard Consulting presents GraphRAG patterns used across retail, legal, manufacturing, and banking. You’ll see how graph schemas constrain LLM reasoning, support relationship-driven retrieval, and prevent agents from inventing products, clauses, dependencies, or business relationships.