voyage-3.5 on Azure AI Foundry

Text embedding models are neural networks that transform texts into numerical vectors. They are a crucial building block for semantic search/retrieval systems and retrieval-augmented generation (RAG) and are responsible for the retrieval quality. voyage-3.5 is a general-purpose and multilingual embedding model optimized for retrieval quality, outperforming OpenAI-v3-large, voyage-3, and Cohere-v4 by an average of 8.26%, 2.66%, and 1.63% respectively across evaluated domains. Enabled by Matryoshka learning and quantization-aware training, voyage-3.5 supports embeddings in 2048, 1024, 512, and 256 dimensions, with multiple quantization options, and maintains a 32K-token context length at the same price point as voyage-3. Learn more about voyage-3.5 here: https://blog.voyageai.com/2025/05/20/voyage-3-5/