Running Evals on a Bloated RAGPipeline

The article discusses the challenges of evaluating retrieval-augmented generation (RAG) pipelines, particularly when comparing metrics across diverse datasets and models. It highlights the importance of standardized evaluation frameworks to accurately assess performance, especially in complex, multi-component systems that integrate retrieval and generation modules, ensuring more reliable comparisons and improvements in RAG architectures.