How do you handle multilingual embeddings?

For multilingual embeddings, choose a model trained on multiple languages, such as multilingual-e5, BGE-M3, or Cohere multilingual embed. These models map text from different languages into a shared embedding space, so a query in one language can retrieve documents in another. Test on your actual languages, since quality varies significantly even within multilingual models.