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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',
})

Providers

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Provider
Context
Latency
Throughput
Input
Output
Cache
Web Search
Per Query
Capabilities
ZDR
No Training
Release Date
Voyage AI
$0.12/M——
06/03/2024

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Throughput
Input
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Cache
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Capabilities
Providers
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No Training
Release Date
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About Voyage Finance 2

Voyage Finance 2 is Voyage AI's finance-specialized embedding model, released June 3, 2024. It features a context window of 0 tokens and targets retrieval across financial documents including corporate event summaries, public company filings, 10-K reports, tabular financial data, personal finance content, and documents requiring numerical reasoning.

Across 11 financial retrieval datasets, Voyage Finance 2 achieves an average NDCG@10 of 0.831, outperforming OpenAI text-embedding-3-large by 7% and Cohere Embed v3 English by 12%. It shows particular strength on TAT-QA (0.788), ConvFinQA (0.820), and FinQA (0.795), which test retrieval over hybrid tabular and textual financial data requiring numerical understanding.

Voyage AI built Voyage Finance 2 for expertise-intensive domains where general-purpose embedding models underperform due to specialized terminology, document structures, and reasoning patterns unique to finance. The context window of 0 tokens handles lengthy financial filings and reports without truncation. That matters for 10-K documents and multi-page research reports where key information appears deep in the text.

What To Consider When Choosing a Provider

  • Configuration: Voyage Finance 2 provides the largest accuracy gains on financial documents with hybrid tabular and textual content requiring numerical reasoning. If your financial data is primarily plain text without tables or numerical queries, a general-purpose model may perform comparably.
  • Configuration: The context window of 0 tokens handles lengthy 10-K filings, research reports, and multi-page financial documents without truncation. This matters most for financial retrieval where key disclosures often appear late in long documents.
  • Configuration: Voyage AI's voyage-3-large now outperforms domain-specific models on financial tasks. For new deployments with mixed financial and non-financial content, evaluate voyage-3-large or voyage-3.5 as simpler alternatives.
  • Zero Data Retention: AI Gateway does not currently support Zero Data Retention for this model. See the documentation for models that support ZDR.
  • Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.

When to Use Voyage Finance 2

Best For

  • Financial document search: 10-K filings, earnings reports, and SEC submissions where domain-specific terminology matters
  • RAG pipelines for financial analysis: Retrieval of relevant tables, figures, and text from company filings
  • Hybrid tabular-textual retrieval: Queries involve numerical reasoning over financial data alongside narrative content
  • Compliance and regulatory workflows: Search across financial regulations, guidance documents, and enforcement actions
  • Investment research: Pipelines that retrieve and rank relevant financial information from large document corpora

Consider Alternatives When

  • Your content spans multiple domains beyond finance: Voyage-3.5 or voyage-3-large provides cross-domain retrieval that includes finance
  • You want Matryoshka dimensionality and quantization: Voyage-3.5 offers these features while covering finance
  • Your financial data is primarily plain text without tables or numerical queries: A general-purpose model may perform comparably
  • You need code retrieval alongside financial data: Consider pairing with voyage-code-3 or using a general-purpose model

Conclusion

Voyage Finance 2 delivers measurable accuracy gains for financial document retrieval, particularly on hybrid tabular-textual datasets requiring numerical reasoning. Its context window of 0 tokens handles the lengthy documents common in finance without truncation. For pure financial retrieval workloads, it remains a specialized option. Access it through AI Gateway for unified provider management and usage tracking.