Analysis
This article offers a fantastic, practical guide to quantitatively evaluating the performance of Retrieval-Augmented Generation (RAG) systems! It breaks down the evaluation process into key stages: retrieval, generation, and overall business Key Performance Indicators (KPIs), equipping practitioners with a structured approach to refine their AI projects. The insights provided are incredibly valuable for anyone seeking to optimize their Generative AI applications.
Key Takeaways
- •The article emphasizes that RAG evaluation should consider both retrieval and generation stages.
- •It highlights the importance of using metrics like Recall and Precision for retrieval evaluation.
- •Ultimately, the evaluation should connect to business KPIs like user problem resolution and task time reduction.
Reference / Citation
View Original"RAG evaluation should be done in the following three layers: Retrieval accuracy (Recall / Precision), Generation quality, and Business KPIs."