Knowledge Base
Gepubliceerd op 13 July 2026Laatst herzien 13 July 2026Herzien door Tanguy Clément
Knowledge Base: is the curated, permissioned store of an organization's documents and data that an AI system retrieves from — through Retrieval-Augmented Generation — to answer questions and act on grounded, current facts rather than guesses.
Directiesamenvatting
A knowledge base turns scattered documents, policies and records into a single source an AI system can search. Rather than relying on what a model happened to memorize during training, the system retrieves the relevant, permissioned facts at the moment they are needed.
Its value depends entirely on curation and access control: it must contain accurate, current content, and it must expose each piece of information only to the people and agents allowed to see it.
Kernpunten
- A knowledge base is what an AI system retrieves grounded facts from.
- It is accessed through Retrieval-Augmented Generation, not stored inside the model.
- Quality and permissions matter more than volume.
- It reduces hallucination by grounding answers in real content.
Architectuur
A usable enterprise knowledge base is defined by a few properties:
- 1SourcesDocuments, records and systems ingested and kept current.
- 2IndexingContent is chunked and embedded, often in a Vector Database, for retrieval.
- 3PermissionsAccess is scoped so retrieval respects who may see what.
- 4RetrievalThe relevant passages are fetched and passed to the model at query time.
Without curation and permissions, a knowledge base becomes either stale or a data-leak risk.
Zakelijk voorbeeld
A family office keeps procedures, entity records and correspondence in a permissioned knowledge base.
An assistant answers a staff question by retrieving the exact clause from the right document — with no access to entities the employee is not cleared for.
Veelgestelde vragen
- How is a knowledge base different from training an AI model?
- A knowledge base is retrieved from at query time and can be updated instantly, while training bakes information into the model. Retrieval keeps answers current, auditable and permission-aware.
- Does a knowledge base stop AI from making things up?
- It substantially reduces hallucination by grounding answers in real content, but it does not eliminate it. Human oversight remains necessary for consequential decisions.
Auteur
Adil MektoubMedeoprichter · AI-engineering en -infrastructuur
DevOps-, platform- en AI-systeemengineer, gespecialiseerd in veilige en schaalbare agentische AI-infrastructuur.
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