Evaluations of RAG using large language models (LLMs) as a judge are being discussed and explored. Various outlets are providing guidance on best practices, metrics, and testing for this type of evaluation, with some also announcing new capabilities and techniques. The specifics of these evaluations and the approaches being recommended appear to vary, with different sources offering distinct perspectives on the topic.