Data
Grounding
Grounding is the practice of constraining an AI model's output to verifiable sources — typically by requiring it to cite specific documents, database rows, or tool results. Grounding is the most reliable defense against hallucinations.
Related terms
- RAG (Retrieval-Augmented Generation) · Data
- Hallucination · Data