Hallucination
An LLM output that is plausible but factually incorrect, unsupported by source data, or not grounded in any retrievable evidence.
Hallucination
Hallucination — An LLM output that is plausible but factually incorrect, unsupported by source data, or not grounded in any retrievable evidence.
Hallucinations are mitigated in production with grounding (every answer cites sources), retrieval (agents fetch evidence rather than recalling), and confidence gating (low-confidence outputs escalate).
How xyner approaches hallucination
xyner treats hallucination 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: grounding, RAG, citations.
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