← All models
intfloat
Intfloat: Multilingual-E5-Large
The multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized for multilingual retrieval, cross-language similarity, and large-scale data search.
512 context
Modalities:text->embeddings
Released:11/17/2025
The multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized for multilingual retrieval, cross-language similarity, and large-scale data search.
Weekly tokens
885.6M
Tokens generated this week (network-wide)
Usage by period
Today57 tokens
This week1.7K tokens
This month10.1K tokens
Trending1.7K tokens