One problem with ChatGPT and similar chatbots is that they can hallucinate and return great-sounding — yet inaccurate — results. The problem is that these large language models (LLM) are inherently black boxes, so it is hard to fix and retrain models to reduce hallucinations. On the other hand, there is tremendous value in having the ability to interact with chatbots and use them as an interface for various applications. Using a knowledge graph as a storage object for answers gives you explicit and complete control over the answers provided by the chatbot and allows you to avoid hallucinations.