The technique of grounding LLM responses in retrieved content from a live index. RAG is the mechanism by which web-enabled AI systems return up-to-date answers.
The technique of grounding LLM responses in retrieved content from a live index. RAG is the mechanism by which web-enabled AI systems return up-to-date answers.
Understanding RAG is essential to understanding why content recency and answer shape matter so much for AI Discovery.
This term is part of the canonical AI Discovery vocabulary, published in the Body of Knowledge alongside the Eight Discovery Signals and The Methodology Handbook. The full glossary contains 56 terms — the operative vocabulary for AI Discovery practitioners.
Practitioners certified through Certified™ are tested on the AI Discovery vocabulary. This glossary is the institutional reference.
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