Yoni Levin

Everyone says "use a Knowledge Graph for RAG," but nobody tells you how much it hurts when you actually try to build it. After thousands of hours trying to turn complex books and multi-modal content into an interactive learning experience, we share every mistake made with Neo4j and LLMs — why extracting knowledge from a 300-page book is harder than searching a billion-row database, how the graph evolved from "too simple to work" to "too complex to query," and real-world examples of where RAG failed and how GraphRAG saved (and occasionally broke) the experience.