AI

Grounding queries

Internal searches the system runs to fact-check or freshen an answer. You never see them. You see the citations.

Fan-out is the cousin. Either way, pages that match sub-questions get retrieved.

You cannot target grounding queries by name. You can cover the sub-questions in public.

Examples

  • The user asks for a laptop. Grounding queries hit battery tests and a Reddit reliability thread.

Related terms

AI grounding

Grounding is tying the answer to retrieved evidence so it hallucinates less. Citations are the visible part.
Query fan-out

Query fan-out is when one user question becomes many internal searches. You might get cited for a sub-query you never targeted.
RAG (retrieval-augmented generation)

RAG means the model looks up documents at answer time instead of relying only on what it memorized in training.

FAQ

Logs? +

Not for you. Infer from weird footnotes.

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