GenAIOps on AWS: RAG Evaluation & Quality Metrics - Part 2

This article covers how to evaluate RAG systems across six dimensions—context precision, context recall, faithfulness, answer relevancy, context relevancy, and answer correctness—using frameworks like RAGAS and AWS Bedrock AgentCore. It explains each metric's purpose, target thresholds, and failure modes, then describes how to build quality gates and evaluation pipelines to prevent production failures.