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Faithfulness vs Answer Relevancy

Faithfulness asks whether the answer is supported by the retrieved context. Answer relevancy asks whether it addresses the question. They are independent, and the dangerous quadrant is high relevancy with low faithfulness, which reads as a helpful, on-topic answer that the sources do not support.

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RELATED CONCEPTS

Evaluating RAG Systems Why LLMs Hallucinate LLM-as-a-Judge Golden Datasets and Eval Sets Retrieval-Augmented Generation (RAG)

LESSONS THAT TEACH THIS

Foundations of Forward Deployed EngineeringWrite the evaluation before the feature, or you will never know if it works13 min→The FDE EngagementAn evaluation becomes a harness the day it can block a release15 min→

PRACTICE THIS IN REAL QUESTIONS

RAG & Agent System DesignWalk me through a RAG pipeline end-to-end, and tell me where it usually breaks→Machine Learning & Data ScienceExplain precision, recall and F1, and which one matters for a fraud-detection customer?→RAG & Agent System DesignHow would you chunk documents for retrieval, and how do you know your chunking is good?→Machine Learning & Data ScienceYour model has 0.95 ROC AUC. The customer is unimpressed in production. What does AUC actually tell you?→ML System Design (Product)Design an evaluation framework for an ads-ranking system.→RAG & Agent System DesignHow would you evaluate a RAG system before letting a customer launch it?→