✨ The Safety Layer for Enterprise RAG
Stop AI Hallucinations
Before They Happen
Don't let your chatbot guess. AnswerGate sits between your vector DB and LLM, blocking irrelevant context in under 500ms.
Don't let your chatbot guess. AnswerGate sits between your vector DB and LLM, blocking irrelevant context in under 500ms.
When "I don't know" is better than a wrong answer. Standard RAG pipelines are not enough for high-stakes domains.
Prevent your AI from inventing financial advice or misinterpreting policy documents. Ensure every answer is backed by strict retrieval relevance.
Hallucinating a case law or statute is unacceptable. AnswerGate acts as a strict relevance filter to block citations that don't exist in your knowledge base.
Patient safety comes first. If the retrieved medical protocol doesn't perfectly match the query, we block the generation to prevent dangerous advice.
See how AnswerGate protects your users from dangerous hallucinations.
"Yes, you can take up to 4 tablets at once if the pain persists."
AnswerGate intercepted this response because it contradicted safety guidelines in the provided context (Medical Safety Policy).
Our optimized decision engine runs in parallel or immediately after retrieval, adding negligible latency to your pipeline.
Unlike standard LLMs that try to be helpful, AnswerGate is designed to say NO. If relevance is ambiguous, we block.
We never train on your data. Your chunks and queries are processed statelessly for evaluation and then discarded (unless logging is enabled).
Just send us your User Query and Retrieved Chunks. We return a clear decision and risk_score.
Get 1,000 evaluations free every month.
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