Glossary
Hallucination
When an AI sounds convincing — but invents facts.
A hallucination is an AI answer that sounds plausible and confident but is factually wrong or entirely made up. The reason lies in how a language model works: it predicts the most likely next word without any real understanding of facts. When genuine knowledge is missing, it fills the gap with something that sounds right.
Why it’s a problem
The tricky thing about hallucinations is that, linguistically, they are indistinguishable from correct answers. An invented price, a wrong deadline or a fabricated source come across just as confidently as the truth. For businesses this is risky: customers make decisions based on false information, and trust suffers.
How Kyros counters it
Kyros reduces hallucinations with RAG: answers are tied to concrete passages from your knowledge base rather than generated freely. Grounded answers cite their sources, so every statement can be checked, and if information is missing the assistant doesn’t guess but says so honestly. For sensitive questions, golden answers additionally ensure the exact approved answer appears.
Frequently asked question
Answers your customers can trust.
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