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Voyage 3.5

Voyage 3.5 is Voyage AI's Voyage 3.5 general-purpose embedding model with a context window of 0 tokens. It surpasses OpenAI text-embedding-3-large by 8.26% and Cohere Embed v4 by 1.63% across eight retrieval domains, with Matryoshka dimensionality and quantization-aware training.

index.ts
import { embed } from 'ai';


const result = await embed({
  model: 'voyage/voyage-3.5',
  value: 'Sunny day at the beach',
})
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Frequently Asked Questions

  • How does Voyage 3.5 compare to voyage-3-large?

    Voyage 3.5 improves on voyage-3-large across all eight evaluated retrieval domains. It also surpasses Cohere Embed v4 by 1.63%. Switching requires re-embedding your corpus.

  • What is the difference between Voyage 3.5 and voyage-3.5-lite?

    Voyage 3.5 is the premium tier with the highest retrieval accuracy in the Voyage 3.5 lineup. voyage-3.5-lite lists at one-third the per-token price of voyage-3.5, and reaches retrieval quality within 0.3% of Cohere Embed v4 at one-sixth the cost. Choose Voyage 3.5 when accuracy is the main priority; choose lite when cost is.

  • What embedding dimensions does Voyage 3.5 support?

    Four dimensions: 2048, 1024, 512, and 256. Matryoshka learning ensures lower-dimensional embeddings retain most of the full-dimension retrieval quality.

  • How much can I reduce storage costs with quantization?

    int8 quantization at 2048 dimensions cuts vector database costs by 83% compared to OpenAI's float offering while achieving better retrieval results. Binary precision with rescoring compresses further.

  • What domains does Voyage 3.5 cover?

    Voyage AI evaluates Voyage 3.5 across eight domains: technical documentation, code, law, finance, web content, multilingual text, long documents, and conversations.

  • How do I access Voyage 3.5 through Vercel AI Gateway?

    Add your Voyage AI API key in AI Gateway settings, then send embedding requests through AI Gateway. AI Gateway authenticates requests and records usage across providers.

  • Does Voyage 3.5 support multilingual retrieval?

    Yes. Voyage 3.5 is evaluated on multilingual retrieval as one of its eight domains and supports cross-lingual similarity search within a single vector index.