Retrieval Augmented Generation (RAG) has become the industry standard to overcome LLM limitations like reliance on generic data and lack of real time organization specific information. Yet, this approach still has its limitations, often primarily focusing on unstructured data. GraphRAG adds an additional layer of maturity to your GenAI application by enhancing semantic retrieval for more accurate and context-rich results spanning structured, semi-structured, and unstructured data sources.