We tackle 5 common misconceptions for folks who are thinking about how Knowledge Graph & RAG systems should be constructed, the scenarios they are relevant to, and the relevancy of certain paradigms. We focus on understanding what RAG-Native Graphs really look like. These misconceptions cover the realities of the role of multi-hop retrieval, graph analytics and network-type data to KG RAG systems (as opposed to their historical relevancy in traditional graph construction and thinking), large vs small graphs and the value proposition of KG RAG in the face of long context windows. https://medium.com/enterprise-rag/5-misconceptions-of-kg-rag-systems-building-using-rag-native-graphs-5e47872e7903