Day 18 RAG Evaluation and Metrics: Quantifying Retrieval Performance for Production #practicalai #ai

Description

Welcome back, fellow architects and engineers! Today, we're diving deep into a topic that separates the hobbyist RAG systems from the robust, production-grade powerhouses: RAG Evaluation and Metrics. In our previous lessons, we explored sophisticated retrieval strategies. But how do you truly know if your "needle in the haystack" is the right needle, or even if you found all the important needles? This isn't just about making your RAG system feel smart; it's about quantifying its intelligence, ensuring reliability, and proving its business value in a production environment where every irrelevant document retrieved costs compute, latency, and, most importantly, user trust.