Model Grounding

Grounding can happen through retrieval, citations, context windows, knowledge bases, or other source mechanisms. It can improve answer usefulness, but it does not guarantee perfect interpretation. The technical layer matters because AI systems need usable context, but technical access is not the same as good interpretation. Clear entities, current pages, consistent claims, and useful source context still determine whether the answer helps a buyer.

Grounded answers still depend on source quality. If the grounding material is stale or vague, the answer may be grounded in the wrong context.

An answer grounded in old help docs accurately quotes the docs but misrepresents current product behavior.

Assuming grounded means correct, complete, or strategically useful.