Grounding constrains the model. Instead of composing a fluent guess, the system retrieves relevant, trusted material and builds its answer on top of it. The result stays tethered to fact.
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This is the direct antidote to invention. An ungrounded model can produce a confident, wrong answer with no way to tell. A grounded one shows its sources, so accuracy can be checked.
For enterprises, grounding is what separates a demo from a system you can put in front of a client.