- Version v1.0.0
- Sold by Voyage AI
Text embedding model optimized for general-purpose (including multilingual) retrieval/search and AI applications. 32K context length.
Voyage AI builds embedding models, customized for your domain and company, for better retrieval and search quality.
Text embedding model optimized for general-purpose (including multilingual) retrieval/search and AI applications. 32K context length.
General-purpose reranker optimized for latency & quality with multilingual support. Context length: 8K for queries & docs (2K for queries).
Rich multimodal embedding model that can vectorize interleaved text and content-rich images. 32K context length.
Text embedding model for code retrieval and AI applications. 32K context length. Multiple output dimensions and embedding quantization.
State-of-the-art text embedding model with the best general-purpose and multilingual retrieval quality. 32K context length.
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