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Grading a retriever starts with hand-labelling 500 queries against 100,000 chunks
Shrijith Venkatramana's embedding evaluation guide treats retrieval as a ranking problem scored with Recall@k, MRR and NDCG. Every figure in it is a worked example, and the labelling is the real bill.
Publishers:dev.to
Reality
- Evidence58
- Adoption
- Insufficient
- Hype gap+8
- Incentives50
- Confidence52