Generic LLMs hallucinate confidently. Grounded LLMs cite sources, refuse when uncertain, and pass regulatory review. The difference is implementation.
Every LLM response must cite its source from the grounded corpus. Responses without citations are treated as unsupported. Most production deployments enforce this in the response-generation step.
For specific tasks (e.g. drafting a customer email), the response shape is constrained — fields, tone, allowed clauses — and the model fills the slots from the grounded corpus.
When the model isn’t confident (low retrieval relevance), it explicitly hands off to a human. This is what separates production-grade from demoware.
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