AI and knowledge infrastructure
Why AI projects depend on the knowledge underneath them: governance, RAG, MCP and what it takes to give AI agents a source of truth.
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RAG hallucination starts in the documents: what you know is what you get
RAG hallucination can start in the documents: research shows AI models follow a wrong or outdated document over their own correct answer.
What is headless knowledge management? One source, read through search, API and MCP
Headless knowledge management keeps one governed source that people, Copilot and AI agents read through search, an API or MCP. What it changes, and its limits.
How AI and knowledge management work together
How AI and knowledge management work together: the foundations, architecture and practices that make company knowledge worth feeding an AI.
Why AI Projects Fail: The Knowledge Foundation Gap
Why AI projects fail: an AI answer is only as good as the documents behind it. The knowledge gaps that stall AI projects, and why they block scaling.
What Is RAG (Retrieval Augmented Generation)?
What is RAG? Retrieval augmented generation connects an AI model to knowledge it can check, so answers come from your content, not its training.
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