• Inspired by science: Graph RAG for principled computing

    Inspired by science: Graph RAG for principled computing

    Graphwise’s approach to data management through Graph Retrieval Augmented Generation (Graph RAG) emphasizes principled, inclusive semantic web standards. By integrating symbolic AI and probabilistic methods, it enhances…

  • The Elusive Quest for RAG Accuracy: What to Know Up Front

    The Elusive Quest for RAG Accuracy: What to Know Up Front

    Retrieval Augmented Generation (RAG) improves Large Language Model (LLM) accuracy but still faces significant challenges, particularly in domains like telecom, where a 25% error rate is unacceptable.…

  • Graph RAG Curation: Lowering the AI Noise Floor

    Graph RAG Curation: Lowering the AI Noise Floor

    In July 2025, an independent curator at Graphwise, specializing in graph-oriented retrieval-augmented generation (graph RAG), began exploring the integration of knowledge graphs with language models. This initiative…