Why every AI answer should cite its source
A confident answer with no citation is a liability. Retrieval-grounded AI — RAG done properly — is what makes an assistant safe to put in front of a business.
A language model on its own will happily produce a fluent, confident answer that is simply wrong. For casual use that is a nuisance. For a business decision it is a real risk.
Grounding beats guessing
Retrieval-augmented generation (RAG) changes the job of the model. Instead of recalling facts from training, it reads your actual documents and data at answer time, and composes a response from what it found.
The citation is the product
When every claim links back to a source, three things happen: reviewers can verify in one click, hallucinations become obvious instead of hidden, and the team learns to trust the system because it can be checked.
We treat citations as a hard requirement, not a nice-to-have. If an answer cannot point to where it came from, it should not be shown as fact.
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