Patterns · Vol. 06

Pattern

MTEB benchmark and leaderboard

Rank embedding models on a comprehensive set of retrieval, classification, clustering, and pair classification tasks, providing a single comparable score that approximates real-world embedding quality.

Classification — Standardized benchmark for embedding models.

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.