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Voyage multilingual 2

voyage-multilingual-2 is a text embedding model built for multilingual retrieval and retrieval-augmented generation across 27 languages, including English, French, German, Japanese, Spanish, Korean, Bengali, Portuguese, and Russian. Evaluated on 85+ datasets, it outperforms OpenAI text-embedding-3-large and Cohere multilingual v3 by 5.6% on average, and maintains strong English performance unlike some competing multilingual models. It features a 32K token context window and produces 1024-dimensional embedding vectors. Accessible via the Voyage AI API; can be substituted into existing Voyage API integrations by setting the model parameter to voyage-multilingual-2.
Text Gen 7
Released: June 10, 2024

Overview

Text embedding model optimized for multilingual retrieval and RAG. Supports 27 languages including French, German, Japanese, Spanish, Korean, and English, with a 32K token context window and 1024-dimensional embeddings. Outperforms OpenAI text-embedding-3-large and Cohere multilingual v3 on average across evaluated languages.

About Voyage AI

Voyage AI provides best-in-class embedding models and rerankers for search and retrieval over unstructured data, used to power retrieval-augmented generation (RAG) and AI applications. It offers general-purpose, domain-specific (finance, legal, code) and company-specific fine-tuned models. Founded in 2023 and based in Palo Alto, the company was acquired by MongoDB, Inc. in February 2025 and now operates as a MongoDB subsidiary.

Industry: Artificial Intelligence
Location: Palo Alto, California, US
View Company Profile
Last updated: June 23, 2026
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