All terms
Patterns
Grounding
Tying a model's answers to verifiable external sources or data.
Definition
Grounding means anchoring a model's output to authoritative, verifiable information — retrieved documents, database records, or tool results — rather than relying solely on what it absorbed during training. Grounded systems can cite sources and are less prone to hallucination.