Applied AI·Embeddings and retrieval
you use the public leaderboard to shortlist three embedding models and your own corpus to pick one of them.
MTEB
Draft summary, pending review
The Massive Text Embedding Benchmark, the standard public leaderboard for embedding models across retrieval, clustering and classification tasks. Useful for shortlisting candidates; your own corpus decides the final pick.