A new open-source evaluation framework has been launched to measure the performance of Retrieval-Augmented Generation (RAG) pipelines, aiding businesses in making informed AI decisions. This framework emphasizes objective scientific metrics, enabling enterprises to assess RAG efficiency accurately. Key features include quantitative analysis, unbiased assessments, and community collaboration. Benefits of using the framework encompass enhanced decision-making, performance benchmarking against industry standards, and clarifying misconceptions from the AI hype cycle. To implement, organizations can download it from the project repository and integrate it with existing systems. Overall, this framework marks a significant advancement in AI performance evaluation.