AI hallucinations

Prevent hallucinations before
they impact your users

Hallucinations arise when AI relies on incomplete or irrelevant context, leading to fabricated or off-topic answers. Prevent them before they affect your users and deliver factual, context-driven responses by leveraging our real-time AI evaluation engine.

Instant hallucination
detection

Catch questionable answers the moment they appear and keep discussions on track.

Seamless RAG
integration

Quickly connect your knowledge base, ensuring every response derives from verified sources.

Factual
accountability

Maintain continuous checks to confirm AI outputs remain true to your curated context.

How our RAG hallucination evaluator works

Step 1: Confirm context relevance

Real-world alignment

We verify that retrieved context genuinely matches the question, preventing illusions of correctness based solely on vector similarity.

Prevent off-topic answers

Step 2: Ensure answers derive from context

No internal model overreach

We check each response for reliance on the approved knowledge base, blocking answers that stem from hidden or outdated model data.

Direct source influence

Step 3: Verify the answer addresses the question

Complete response

We confirm the final answer thoroughly addresses what the user asked, avoiding partial or incomplete replies.

What happens next

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