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voyage-code-3 Embedding Model
Text embedding model for code search & AI apps. Supports 32K context, multiple output sizes, and quantized embeddings.
MongoDB
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voyage-code-3.5-lite Embedding Model
Optimized text embedding model for general retrieval, low latency, and cost-efficient AI use. Supports 32K context.
MongoDB
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voyage-multimodal-3 Embedding Model
General-purpose text embedding model optimized for strong retrieval quality, low latency, and cost-efficient AI use with 32K context.
MongoDB
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voyage-multimodal-3.5 Embedding Model
Rich multimodal embedding model that can vectorize interleaved text, content-rich images, and video. 32K context length.
MongoDB
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