Title: Discussion 9 — Faithful but Incomplete
Course: AIINFRA 301: Production RAG & LLMOps — Observability and Evaluation > Section: Week 09 — RAG Evaluation Foundations with RAGAS

💬 Discussion 9 — Faithful but Incomplete (20 pts)

Imagine a RAG system that scores high on Faithfulness but low on Context Recall. In your own words: what does this specific combination of scores tell you is broken in the pipeline, and where would you look first to fix it? Walk through your reasoning using this week's definitions of Faithfulness and Context Recall rather than a general sense of "the retrieval is bad." Consider: if the generator is being faithful, what does that tell you about how it is behaving given the context it received — and if recall is low, what does that tell you about what the retriever handed it in the first place? Post your initial response (150+ words) by the midweek deadline, then respond to at least two classmates — ideally classmates who diagnosed the scenario differently than you did, or who proposed a different first fix.