An evaluator for RAG that rates, from 1 to 5, how far a response is backed by the supplied context rather than invented (the precision side). Context must be provided.
Also called GroundednessEvaluator.
Read more: Microsoft Learn
In the Ultra Transcenders books
Each book explains Groundedness evaluator in context, with comparison tables and the common traps.
Terms in this definition
- RAG
Technique for answering from private or recent information: relevant content is fetched from your own data, typically a search index, and inserted into the prompt as grounding so the model can respond with citations.