GraphRAG: Knowledge Graphs and RAG

Emil Eifrem discusses the integration of Knowledge Graphs with Retrieval-Augmented Generation (RAG) in his talk at the AI Engineer World’s Fair. He explains how GraphRAG enhances AI applications by providing richer context for data retrieval, leading to improved accuracy and development efficiency. Eifrem emphasizes the importance of Knowledge Graphs in modern search technologies and showcases practical examples of their application in customer service bots and other AI solutions. The talk also highlights the benefits of GraphRAG, including increased response quality and explainability in AI systems.