Cohere has introduced its first multilingual text understanding model, supporting over 100 languages and delivering significant performance improvements over existing open-source models. This model, designed for applications such as semantic search, content aggregation, and cross-lingual content moderation, enables businesses and platforms to effectively serve global markets by understanding and processing text across multiple languages. By mapping text into a semantic vector space, it facilitates improved search results and insights, outperforming traditional keyword searches and other multilingual models, particularly in capturing language nuances and longer text meanings. Trained on a vast dataset of authentic question/answer pairs from diverse languages, the model addresses previous limitations in multilingual natural language processing. Cohere's model showcases improved capabilities in multilingual semantic search, customer feedback aggregation, and zero-shot content moderation, making it a valuable tool for international operations.