#groundedai

For agents to act with context and accuracy, they must ground their decisions in real, trusted data sources. This process is called knowledge grounding.

Tools for Grounding:

Wikipedia or Wikidata

Domain-specific databases (e.g., medical, legal)

Vector search on internal documents

Grounding prevents hallucination and boosts task reliability. Agents in knowledge-rich domains are often built atop structured grounding pipelines—see examples in AI agents.