InAI Engineering CompassbyDipak Ahirav·Oct 25RAG Evaluation Explained: How to Know Whether Your AI Is Actually Retrieving and Answering…A RAG system can sound impressive while retrieving the wrong documents, citing irrelevant sources, or confidently generating unsupported…A response icon1A response icon1
Sudhakar Tripathi·Oct 22Can You Trust an LLM Judge? A Hard Look at G-EvalWhat it gets right, where it quietly misleads, and how I use it with DeepEval
Adnan Masood, PhD.·Oct 21AI Metrics for Mere Mortals, Part 2: How to Measure Search, RAG, and Generated AnswersPrecision@K, Recall@K, Hit Rate@K, MRR, NDCG, Pass@K, RAG faithfulness, and answer correctness, each worked by hand on a small example
Zulfiia Ditto·Oct 18RAG Evaluation: A Hands-On WorkshopRetrieval-Augmented Generation (RAG) is one of the ways to make large language models (LLMs) “accurate” by grounding their responses in…A response icon1A response icon1
Rupinder Guron·Oct 12A Real Two-Model Canary Rollout for RAG Reranking, with KServeMost “canary deployment” posts for ML models show the same model deployed twice behind a traffic split. That proves your routing works. It…
Satyam Muluk·Oct 11Why Your AI Needs a Report Card: A Beginner’s Guide to RAG EvaluationRetrieval-Augmented Generation (RAG) sounds complicated, but at its heart, it acts like an open-book exam for AI.
Zeynepbkn·Oct 101. Çalışıyor olması, doğru çalıştığı anlamına gelmezBir İK el kitabı üzerine RAG uygulaması kurdunuz. Kullanıcı soruyor:
Wagied Davids·Oct 2REASONEX · SAME 18 QUESTIONS, SAME THREE CONDITIONS, TWO MODELSTwo models. Two different stories.
Subham Kumar Sahoo·Sep 28RAG Evaluation Metrics (Part 2): Coverage, Precision & RecallComplete your RAG evaluation toolkit with the remaining metrics. Keyword coverage, Precision and Recall.
