# Grounding

Grounding is the practice of basing an AI response or action on specific, relevant source information.

## Why it matters

Grounding helps teams distinguish between a plausible answer and an answer supported by their actual documents, systems, or approved instructions. It is a core control for reliable workplace AI.

## Example

Before answering a policy question, an AI retrieves the current policy page and cites the relevant section rather than relying on general model knowledge.

## FAQ

### What is Grounding in simple terms?

Grounding is the practice of basing an AI response or action on specific, relevant source information.

### Why does Grounding matter for teams using AI?

Grounding helps teams distinguish between a plausible answer and an answer supported by their actual documents, systems, or approved instructions. It is a core control for reliable workplace AI.

### What is a practical example of Grounding?

Before answering a policy question, an AI retrieves the current policy page and cites the relevant section rather than relying on general model knowledge.


Source: https://www.luffy.so/ai-glossary/grounding

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