intfloat /

multilingual-e5-large-instruct

5 DZD in / 1M tokens

multilingual-e5-large-instruct is an open-source, instruction-tuned multilingual text embedding model developed by Microsoft Research. Built upon the 568-million parameter XLM-RoBERTa-large architecture, it supports over 100 languages and maps text into a 1024-dimensional dense vector space. Unlike previous E5 models that relied on rigid static prefixes, this model utilizes flexible, task-specific natural language instructions for queries while keeping target documents prefix-free, delivering superior custom retrieval accuracy and cross-lingual performance for global enterprise RAG systems.