Pattern
MTEB, BEIR, and benchmark resources
Provide standardized measurement of retrieval components — MTEB for embedding models (expanded in 2025 as MMTEB to 500+ tasks in 250+ languages, with the leaderboard split into named benchmarks), BEIR for retrievers on a curated set of zero-shot retrieval benchmarks, RAGAS for end-to-end RAG quality — with public leaderboards that update as new models and methods are released.
Classification Benchmarks and leaderboards for the retrieval stack.
Full entry
The complete treatment — problem, how it works, when to use it, sources, and examples — lives in the volume below.
Browse the full pattern index or the catalog.