Data as of Aug 16, 2026 · Based on 3,131,739 AI responses across 10,525 prompts · See how Parse measures this
Multilingual E5 Largehuggingface.coE5-base is a text embedding model developed by Microsoft researchers, designed to encode queries and passages for tasks like information retrieval and semantic similarity. It uses weakly supervised contrastive pre-training and requires input texts to be prefixed with "query:" or "passage:" for optimal performance.
Sources
medium.com shapes more of what AI says about Multilingual E5 Large than any other source, at 13% of its citations.
reddit.com · research.aimultiple.com · aimultiple.com · arxiv.org
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