4 Metrics for Quantitatively Evaluating RAG Systems — If You're Building a Marketing Chatbot
This article introduces an LLM evaluation harness designed to automatically assess chatbot quality on a quarterly basis. The harness uses a "golden set" of questions and expected answers to test various model configurations, comparing results to track changes and ensure operational stability. It automates manual evaluation processes, providing a structured way to monitor chatbot performance and identify issues before they impact users. AI
IMPACT Provides a framework for systematically measuring and improving RAG chatbot performance, crucial for maintaining user trust and operational reliability.