The advent of Retrieval-Augmented Generation (RAG) marked a significant milestone in Large Language Model (LLM) applications, grounding generative capabilities in factual, external data to mitigate hallucinations and enhance relevance. However, a more sophisticated paradigm, AI-Native GraphRAG, has emerged to address the shortcomings of...