Grounding is the practice of anchoring an LLM's answer not just to the model's training data but to a verifiable external source — documents, databases, or live search results. RAG is the most common implementation: the answer is anchored to retrieved passages and supported by Citations. Google added "grounding with Google Search" to the Gemini API in 2023; Anthropic introduced a similar "Citations" concept for Claude. A well-grounded answer significantly lowers the likelihood of Hallucination and forms the trust foundation of enterprise AI applications.
MEVZU N°124ISTANBULYEAR I — VOL. III
Glossary · Intermediate · 2023
Grounding
The practice of anchoring an LLM's answer to a verified external source.
- EN — English term
- Grounding
- TR — Turkish term
- Topraklama (Grounding)