https://store-images.s-microsoft.com/image/apps.53494.ed50b890-af17-4fca-8f9f-11e7b535ab8a.c1be371e-ad50-4df9-993a-b5e8beaf3055.f976606f-6eed-4f9d-a02b-440aa9debc7a

voyage-4 Embedding Model

από MongoDB, Inc.

Text embedding model for general-purpose (incl. multilingual) retrieval and AI. 32K context length.

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-4 is a general-purpose (including multilingual) embedding model optimized for retrieval/search and AI applications. voyage-4 supports embeddings in 2048, 1024, 512, and 256 dimensions, with multiple quantization options. Learn more about voyage-4 here