## GraphRAG with TypeSafe Jev: A System One Approach to Scalable Knowledge Graphs How calibrated decision models can handle high-frequency graph decisions while LLMs remain focused on reasoning, synthesis, and open-ended generation. Over the past three years, Retrieval-Augmented Generation (RAG) has evolved from simple vector similarity search over chunked documents to include complex, graph-native architectures known as GraphRAG. By leveraging Knowledge Graphs (KGs), where nodes represent real-world entities and edges represent semantic relationships, GraphRAG enables large language models…