Grounding
The practice of producing AI outputs that cite or reference retrieved source documents, rather than generating from the model's parameters alone.
Grounding
Grounding — The practice of producing AI outputs that cite or reference retrieved source documents, rather than generating from the model's parameters alone.
Grounding is the practical defence against hallucinations: every answer must be tied to a retrievable source, or it doesn't ship.
How xyner approaches grounding
xyner treats grounding as a first-class platform concern — the relevant capability is documented and tested, with clear integration points for enterprise architecture teams.
For a deeper technical reference, see the related capability page or the corresponding whitepaper linked below.
See also
Related: RAG, citations, hallucination.
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