Production-grade RAG evaluation is being discussed in terms of its requirements and best practices. Various outlets are offering guidance on how to achieve effective RAG evaluation, including frameworks, metrics, and testing methods. The topic appears to be of interest in the context of large language models and generative AI, with some outlets also touching on related issues such as AI hallucination and model customization.