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Voyage Finance 2

Voyage Finance 2 is Voyage AI's finance-specialized embedding model with a context window of 0 tokens. It achieves 0.831 average NDCG@10 across 11 financial retrieval datasets, outperforming OpenAI text-embedding-3-large by 7% and Cohere Embed v3 by 12%.

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


const result = await embed({
  model: 'voyage/voyage-finance-2',
  value: 'Sunny day at the beach',
})
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Frequently Asked Questions

  • What types of financial documents does Voyage Finance 2 handle?

    Corporate event summaries, public company filings, 10-K reports, tabular financial data, personal finance content, and documents requiring numerical reasoning across tables and text.

  • How does Voyage Finance 2 compare to general-purpose embedding models on finance?

    Voyage Finance 2 outperforms OpenAI text-embedding-3-large by 7% and Cohere Embed v3 by 12% across 11 financial retrieval datasets, with an average NDCG@10 of 0.831.

  • Should I use Voyage Finance 2 or voyage-3-large for financial retrieval?

    Voyage AI's voyage-3-large now outperforms domain-specific models on financial benchmarks. For mixed financial and non-financial content, voyage-3-large or voyage-3.5 may be simpler. Use Voyage Finance 2 if your workload is exclusively financial and you have existing indices.

  • What is the context window for Voyage Finance 2?

    0 tokens. This handles lengthy financial filings and multi-page research reports without truncation, which is critical for documents where key disclosures appear deep in the text.

  • Does Voyage Finance 2 handle tables and numerical data?

    Yes. Voyage Finance 2 shows particular strength on benchmarks involving hybrid tabular and textual financial data (TAT-QA, ConvFinQA, FinQA), which test retrieval requiring numerical reasoning.

  • How do I authenticate Voyage Finance 2 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 embedding usage.

  • What financial benchmarks is Voyage Finance 2 evaluated on?

    11 financial retrieval datasets including TAT-QA (0.788 NDCG@10), ConvFinQA (0.820), and FinQA (0.795). These cover corporate filings, financial news, tabular data, and numerical reasoning tasks.