When a company implements enterprise RAG, it has perfectly understandable expectations that the AI will provide accurate and up-to-date answers based on corporate knowledge. But instead, the company sees confident yet incorrect answers, inconsistencies across interactions, and reliance on outdated...
Do you know the two main ways to incorporate your company’s knowledge into a language model? You can either retrieve it on-demand (RAG) or “bake” it directly into the model (fine-tuning). But if you make the wrong choice, you’ll end up with a bloated budget, outdated answers, or the need to...
The development of artificial intelligence has not only added new features to knowledge management; it has, in fact, transformed the very purpose of these tools. Previously, such tools stored and organized documents for people. But their new purpose is to prepare knowledge so that AI agents can...
Despite the rapid development and adoption of artificial intelligence, not all knowledge management platforms are AI-ready. Most were designed to store and organize documents, but specifically for human use. When AI agents or Copilots are directed to them, they access everything inside:...
SharePoint is one of the most popular document storage platforms for enterprise companies. And given its popularity, building a knowledge base around it seems like an obvious step. And indeed, it works well for storing and sharing articles. However, problems arise the moment GenAI is directed to...