KM InsiderIntroduction to the Hallucination Problem in Enterprise RAG Retrieval Augmented Generation has become the dominant architecture for grounding large language models in corporate knowledge bases. The principle is sound. Retrieve relevant passages from a trusted vector database and instruct the LLM to answer solely from those passages. However, real world enterprise deployments consistently report hallucination … Read more
Artificial intelligence is accelerating the pace of digital transformation. As a result, the need for organisations to manage their information and knowledge effectively has become more critical than ever. Today’s workplace appears “crowded” and resembles a marketplace of competing frameworks, tools, and management approaches. In this environment, messages about the value of information and knowledge … Read more
The $47 Million Question No Executive Is Asking A senior engineer spends eighteen months solving a complex technical problem. The solution saves the company three million dollars annually. The engineer retires. The problem recurs eighteen months later. A new team spends another eighteen months solving it again. No one knew the first engineer had already … Read more
Choosing the wrong knowledge management software costs organizations more than the licensing fee. It costs adoption, trust, and eventually the entire KM initiative. Teams stop using systems that don’t fit how they work — and once a knowledge base becomes a place where information goes to be forgotten, rebuilding the habit of contribution is harder … Read more
IDC research has found that knowledge workers spend approximately 30% of their working day searching for information or recreating work that already exists somewhere else in their organization. The lost productivity is significant. The more revealing problem is structural: the knowledge existed. The organization simply could not move it to the person who needed it … Read more