Explainability is the ability to understand and justify an AI system's decisions: why this answer, from which sources, with what confidence. Essential for user trust and required by regulators for risky uses, it shapes architecture choices.
In practice at Gensai
Gensai's RAG systems cite their sources: every answer can be traced back to the documents it rests on.
Same theme
Definition written with AI assistance, checked by Sébastien Lecocq, co-founder of Gensai.
Going beyond the definition?
From concept to project: Gensai builds custom, sovereign, GDPR-compliant AI solutions.
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