A grounded AI agent receives authoritative context from documents, databases, tools or other approved sources. It uses that material to support its output and can preserve references that let a reviewer trace important claims back to evidence.
Grounding is especially important in regulated or high-stakes work, where a plausible response is not enough. The system should control which sources are trusted, surface uncertainty and allow humans to verify the data behind consequential decisions.
ELI5
A grounded AI agent bases important answers and actions on approved, checkable information. It uses documents, databases or tools instead of relying only on patterns remembered by the model.
For example, a medical support agent can retrieve the current policy and cite the exact section behind its response. The system must still control which sources are trusted and show uncertainty when the evidence is missing or conflicting.
How is an AI agent grounded?
It is connected to approved sources and tools, instructed to use retrieved evidence and designed to preserve citations or traceable records for review.
Does grounding eliminate hallucinations?
No. Grounding reduces unsupported output, but the agent can still misread evidence or use the wrong source, so important results require validation.
