株式会社オブライト
AI2026-05-17

Grounding

Also known as: Grounding / グラウンディング / 事実根拠付け

The practice of anchoring LLM outputs to verifiable external sources (documents, databases, search results) to prevent hallucination. RAG is the dominant technical approach to grounding.

Overview

Grounding anchors LLM responses to specific external sources — retrieved documents, web search results, or database query outputs — reducing hallucination and improving verifiability. Citing sources in the response lets users check the evidence behind an answer.

Enterprise importance

Regulated industries (medical, legal, financial) require evidence-backed AI responses, making grounding a non-negotiable design requirement. Anthropic, Google, and others treat grounded generation as a core safety feature of their enterprise offerings.

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Related Terms

RAG (Retrieval-Augmented Generation)HallucinationVector DatabaseSemantic SearchGraphRAG

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