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multilingual-e5-large

5 DZD in / 1M tokens

multilingual-e5-large is an open-source, 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. Utilizing weakly-supervised contrastive pre-training and asymmetric prefix conditioning ("query: " and "passage: "), it delivers state-of-the-art cross-lingual retrieval and semantic search capabilities, making it a foundational model for global Retrieval-Augmented Generation (RAG) pipelines.