The Complete RAG Playbook (Part 4): Evaluation & Choosing What Works
Last Updated on January 2, 2026 by Editorial Team
Author(s): Ravi Kumar Verma
Originally published on Towards AI.
The Complete RAG Playbook (Part 4): Evaluation & Choosing What Works
We’ve covered 19 RAG techniques across three parts. You’ve seen chunking strategies, context enrichment, query transforms, rerankers, and advanced architectures. But there’s one question nobody likes to answer:
This article focuses on the evaluation of RAG techniques, outlining the importance of measurement to determine which implementation works best for specific use cases. The author discusses building proper evaluation datasets, implementing relevant metrics, and benchmarking existing methods while analyzing their performance. Through honest evaluation, readers are equipped with the knowledge to make informed decisions regarding which techniques to deploy in diverse situations, ultimately encouraging a practical approach to algorithm selection.
Read the full blog for free on Medium.
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