Glossary Strategy & implementation

Knowledge management

What is knowledge management?

Knowledge management is capturing, organising and making findable the knowledge in an organisation, so everyone can use the same, current information.

Also known as knowledge managementknowledge baseknowledge retention

Knowledge lives in documents, systems and above all in the heads of experienced employees. Without knowledge management people search for a long time, the same question gets different answers, and knowledge leaves with the people who hold it. How AI solves that is covered under knowledge management with AI.

AI changes how that works. With RAG you search your own documents in plain language and get an answer with the source, instead of a list of files. That turns a knowledge base into something people actually use.

It is often the first layer of an AI Operating System: first make knowledge findable, then connect systems and let AI take over work.

Last updated: 20 October 2026

Relatedterms

Read on in the glossary

All terms

AI techniqueRAG (Retrieval-Augmented Generation)RAG lets a language model first retrieve the right documents from your own sources and base its answer on those, so it draws on your knowledge instead of only its training.AI techniqueLLM (Large Language Model)An LLM is a large language model trained on enormous amounts of text, which lets it understand and generate language; it is the engine under tools like ChatGPT, Claude and Gemini.AI techniqueHallucinationA hallucination is when a language model confidently gives information that is incorrect or made up, presented as if it were a fact.Strategy & implementationAIOS (AI Operating System)An AIOS is an AI layer that sits on top of your existing systems, reads data from all of them at once, and runs processes that affect the whole organisation, not just the individual employee.

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