Voyage voyage-3
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About Voyage voyage-3
Voyage voyage-3 is a text embedding model from Voyage AI, optimized for general-purpose and multilingual retrieval tasks. It supports a context length of 32,000 tokens and produces 1024-dimensional embeddings. As a previous-generation model, it remains accessible through the Voyage API but does not include a free tier, with usage charged per token. It is part of a broader family of models designed for diverse retrieval and RAG applications.
Key Features
32,000 token context length
1024-dimensional embeddings
Optimized for general-purpose retrieval
Optimized for multilingual retrieval
Accessible through Voyage API
Previous-generation model (still available)
Pros & Cons
Pros
- Strong retrieval quality for general and multilingual content
- Long context length of 32,000 tokens
- Part of a well-established embedding model ecosystem
- Compatible with Voyage API infrastructure
Cons
- Previous-generation model; newer models offer better quality and efficiency
- No free tier available (unlike newer models)
- Pricing per token may be higher than some alternatives
Best For
General-purpose semantic searchMultilingual document retrievalRetrieval-augmented generation (RAG) pipelinesCross-lingual information retrievalEmbedding-based text clustering and classification