Guide Outlines Key Metrics and Frameworks for Evaluating RAG Systems

A guide from DEV Community details methods for evaluating and monitoring Retrieval-Augmented Generation (RAG) systems in production. RAG systems combine a retrieval component with a text generation model. The guide explains that evaluation must assess both the quality of the retrieval and the generation, as well as overall system performance. It outlines specific metrics, such as precision and recall for retrieval and faithfulness for generation, along with system metrics like latency. The article also includes example code for calculating these metrics in practice.