RAG: Key Aspects of Performance: Metrics and Measurement
Evaluating Retrieval-Augmented Generation (RAG) pipelines ensures these systems are accurate, reliable, and effective. RAG pipelines combine retrieval mechanisms with generative models to generate contextually relevant and precise responses. As I am measuring RAG vs Knowledge Graph enabled RAG performance, I am considering the below metrics. I would welcome all the experts' inputs, missing aspects, and metrics!
Key Dimensions and Metrics for RAG Performance
The Retrieval and Generated related performance aspects or dimensions is discussed below:
RAG Performance Metrics and Measurement Process
Below detailed are the top Metrics. Related measurement process is explained below with examples:
1. Accuracy
Measures the overall correctness of the responses generated by comparing the correct answers to the total number of questions. Attributes to the “Fairness” aspect above.
Ex: In a medical RAG system, suppose there are 100 patient queries about symptoms. If 90 of…
