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.
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Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.