Graphwise at KM + RAG: Building Trustworthy, Context-Aware AI
Kent Strocker, Pre-Sales Engineer at Graphwise, participated in a roundtable organized by KMWorld on the topic “KM + RAG: Building Trustworthy, Context-Aware AI,”.
RAG (Retrieval-Augmented Generation) has gained much attention lately with its promise to reduce, or even eliminate, hallucinated information from search results. By combining language models with contextually relevant, organizationally verified knowledge stores, retrieved data is transparent, accurate, and reliable, with underlying sources identifiable.
Kent bring the Graphwise perspective to the conversation: how knowledge graphs and semantic context ground AI systems in verified, structured knowledge, so retrieval stays accurate, explainable, and trustworthy at enterprise scale.
