Knowledge Grounding
Last updated March 25, 2026
Knowledge grounding constrains AI responses to information from verified sources like help centers and documentation to prevent hallucinations.
Knowledge grounding is the practice of ensuring AI support agents only generate responses based on approved verified sources such as help center articles, documentation, past tickets, and company policies. This prevents AI hallucinations where the agent confidently provides incorrect information. Tools like eesel AI emphasize zero-hallucination approaches by training exclusively on verified company data.
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Frequently Asked Questions
Why is knowledge grounding important?
Without grounding, AI can hallucinate confident but wrong answers that damage customer trust and potentially create liability.
How do you ground AI in your knowledge base?
Feed AI only your verified documentation, help articles, and past ticket responses. Restrict it from generating answers outside this approved content.
Which tools have the best knowledge grounding?
eesel AI, Intercom Fin, and Ada all emphasize knowledge grounding to prevent hallucinations in customer-facing responses.