Retrieval, Memory & Knowledge
Grounding
Connecting AI outputs to verified real-world information to reduce hallucination.
Definition
Grounding refers to anchoring an AI model's responses in specific, verifiable sources rather than relying solely on the model's parametric knowledge. A grounded AI response will cite the specific document or data source it drew on, making it possible to verify the claim independently. Grounding through RAG is one of the most effective techniques for reducing hallucination in business-critical AI deployments.
Related Terms
RAG (Retrieval-Augmented Generation)
Combining an LLM with a search system so it can look up current or specific information before responding.
Hallucination
When an AI confidently produces false information it has invented.
Knowledge Base
A structured collection of documents or data that an AI can search through.
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Disclaimer
This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.
Document reference: ISO_webpage_knowledge-base_glossary_v1
Last modified: 29 March 2026
Knowledge Base·Retrieval, Memory & Knowledge·Grounding