AI & LLM Evals / Quiz
RAG Retrieval Quality Metrics
Before you blame the LLM, measure the retriever. precision@k, recall@k, MRR, NDCG: the numbers that tell you whether the evidence ever arrived.
- Difficulty
- Easy
- Format
- Quiz
- Points
- 100
- Estimate
- 9 min
// MISSION BRIEF
Your Mission
In RAG, a bad answer often means a bad retrieval. But "bad retrieval" has to be measured. This quiz covers the ranking metrics that quantify whether the right chunks were fetched, and fetched high enough.
Scoring: equal weight per question.
// FIRST CONTACT
Battle teaser
precision@k measures:
- AOf the top-k retrieved chunks, what fraction are actually relevant
- BHow fast retrieval ran
- CWhether all relevant chunks were retrieved
- DThe number of tokens retrieved
Answers, scoring, hints, and the full battle stay sealed.
// SKILL TAGS
ai-evalsragretrieval-metricsndcgmrr