AI & LLMs

Grounding

Tying model claims to supplied sources — answer from the documents, not from vibes.

Grounding constrains generation to provided evidence: retrieved passages, database rows, tool results. A grounded system instructs the model to answer only from sources, cite them, and say “not found” otherwise — then verifies attribution. It is the working antidote to hallucination in production RAG systems, and the property most RAG evals actually measure.