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We check each response for reliance on the approved knowledge base, blocking answers that stem from hidden or outdated model data.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