MTEB
Benchmark suite ranking embedding models across many tasks.
Aperçu
MTEB evaluates embedding models across a wide set of tasks - retrieval, clustering, classification, reranking - in several languages, and publishes a single ranking. It solves the problem that "which embedding model" is otherwise answered by vendor claims on cherry-picked tasks. It exists because retrieval quality is decided at the embedding step, so a comparable ranking across models is the most useful single number in a RAG stack.
Graphe des technologies
Comment MTEB se rattache au reste de la pile.
Utilise et dépend de
- BEIR benchmark Benchmarks MTEB based on BEIR High ✓ source
Appliqué à
- Embedding concept Techniques MTEB used for Embedding High ✓ source
Outils
Logiciels qui implémentent MTEB ou s'y intègrent.