The human brain is divided into two hemispheres, each of which specializes in different types of tasks. Your right brain excels at imagination, intuition, art, rhythm, feelings, and dreams. Meanwhile, the left brain is more analytical and focused on logic, sequencing, linear thinking, and mathematics. Like a human brain, generative AI excels at certain tasks, especially those related to right-brain creative activities. However, the absence of relevant and up-to-date information produces confusing hallucinations that are not grounded in reality.  This presentation will explore how knowledge graphs built with factual and updated information can complement LLMs via retrieval augment generation (RAG) to produce more reliable results. I will show a demonstration of a knowledge graph built off of Artifactory dependency information that can be queried in natural language using ChatGPT.