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About Voyage AI
Voyage AI builds embedding models, customized for your domain and company, for better retrieval and search quality.
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- Version v1.0.1
- Sold by Voyage AI
General-purpose text embedding model designed for general semantic retrieval tasks. 16K context length.
- Version v1.0.1
- Sold by Voyage AI
Text embedding model optimized for code retrieval and AI applications. 16K context length.
- Version v1.0.1
- Sold by Voyage AI
Rich multimodal embedding model that can vectorize interleaved text and content-rich images. 32K context length.
- Version v1.0.0
- Sold by Voyage AI
State-of-the-art text embedding model with the best general-purpose and multilingual retrieval quality. 32K context length.
- Version v1
- Sold by Voyage AI
General-purpose reranker optimized for both latency and quality. Context length: 4K for queries & documents with up to 1K for queries.
- 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.
- Version v1
- Sold by Voyage AI
General-purpose text embedding model optimized for a balance between cost, latency, and retrieval quality. 4K context length.
- Version v1
- Sold by Voyage AI
Text embedding model optimized for legal retrieval and AI applications. Tops the MTEB leaderboard for legal retrieval. 16K context length.
- Version v1.0.0
- Sold by Voyage AI
General-purpose reranker optimized for quality with multilingual support. Context length: 16K for queries & documents (4K for queries).
- Version v1
- Sold by Voyage AI
Text embedding model optimized for multilingual retrieval and AI applications. 32K context length.
showing 1 - 10