
GenAIOps on AWS: RAG Evaluation & Quality Metrics - Part 2
Reading time : ~20-25 minutes Level : Intermediate to Advanced Series : Part 2 of 4 - RAG Evaluation & Quality Metrics What you'll learn : How to evaluate RAG systems using RAGAS and Bedrock AgentCore, build quality gates, and prevent production failures The Problem: You Can't Improve What You Don't Measure Your RAG system is in production. Users are getting answers. Everything seems fine. Then the complaints start rolling in: Traditional metrics like "did it respond?" or "was latency acceptable?" don't capture RAG system quality. You're measuring uptime when you should be measuring correctness, faithfulness, and relevance. This is the RAG evaluation gap. The RAG Evaluation Challenge RAG systems have multiple points of failure that traditional software testing doesn't account for: The Deceptively Simple Flow Where It Can Break Each failure mode requires different evaluation metrics. RAG Evaluation: The Six Dimensions Here's a quick reference for the metrics we'll cover: Metric What It
Continue reading on Dev.to
Opens in a new tab



