Grounding
Tying a model’s answer to specific sources it was given, ideally with citations. The main defence against hallucination in business use.
01In short
Tying a model’s answer to specific sources it was given, ideally with citations. The main defence against hallucination in business use.
In productionIf an answer can’t point to its source, it shouldn’t reach a customer.
02Video
slot · videoGrounding in 90 secondsadd: GUIDES['grounding'].video
03Guide
slot · guide
A step-by-step guide for “Grounding” goes here. Suggested outline:
- What it is — in one paragraph
- Why it matters in production
- How to do it — 3 to 7 steps
- Pitfalls we see in the field
04Checklist
slot · checklist
Four to eight things a team can tick before go-live.
05FAQ
slot · FAQ
The three questions clients actually ask about “Grounding”.
06Related terms
BasicsHallucinationA fluent, confident answer that is wrong or made up. It is a property of how language models work, not a rare bug.Data & retrievalRAGBefore answering, the system searches your documents and hands the relevant passages to the model. Answers get grounded in your data without retraining.
Where we help · Build