Question 1

Which embedding model is best for SEC filings?

Accepted Answer

Voyage Finance-2 is best for SEC filings because it is fine-tuned specifically on financial documents including SEC filings, earnings call transcripts, and analyst reports. In benchmark tests, it consistently outperforms OpenAI text-embedding-3-large on financial retrieval tasks, especially for queries involving financial terminology, company names, ticker symbols, and quantitative metrics common in SEC filings.

Question 2

Is Voyage Finance-2 worth the switch from OpenAI?

Accepted Answer

Voyage Finance-2 is worth the switch for financial institutions that prioritize retrieval accuracy over ecosystem compatibility. It delivers 10-20% better retrieval accuracy on financial domain benchmarks. However, OpenAI embeddings offer broader framework support, dimensional reduction for storage optimization, and lower per-token cost. If your use case requires maximum financial search accuracy, Voyage Finance-2 is the better choice.

Question 3

Which is cheaper for large financial document corpora?

Accepted Answer

OpenAI text-embedding-3-large is cheaper for large financial document corpora at $0.13 per million tokens, while Voyage Finance-2 charges $0.02 per 1,000 tokens which is significantly higher for high-volume workloads. However, Voyage's higher retrieval accuracy means fewer tokens may need to be retrieved per query, potentially offsetting the cost difference for exact-match financial search scenarios.

Question 4

Which works better with Claude for financial RAG?

Accepted Answer

Voyage Finance-2 is recommended by Anthropic for use with Claude in financial RAG pipelines because both models are optimized for the same domain. The combination of Voyage Finance-2 for retrieval with Claude for generation produces more accurate financial answers than mixing general-purpose embeddings with Claude. OpenAI embeddings also work well with Claude, but lack the specialized financial domain alignment.

Feature	OpenAI Embeddings	Voyage Finance
Category	E	m
Open Source	No	No
License	—	—
Deployment Model	Cloud	Cloud
Pricing Model	usage-based	usage-based
Platforms	Api, Python	Api, Python
Compatible Vector DBs	pineconeweaviatechromaqdrantmilvus	pineconeweaviatechromaqdrantmilvus
Compatible LLMs	openaianthropiccoheremeta-llamamistral	anthropicopenaicoheremeta-llamamistral
Compatible Frameworks	langchainllamaindexhaystackdspy	langchainllamaindexhaystackdspy
Programming Languages	python, typescript, go, java	python, typescript
Finance Use Cases	✓SEC filing semantic search embeddings ✓Multilingual financial document retrieval ✓Earnings call semantic search ✓Cross-lingual financial search (EN/FR/AR)	✓High-accuracy SEC filing retrieval and search ✓Financial research semantic search ✓Earnings call Q&A with precise retrieval ✓Investment document analysis and comparison
Key Features	✓Most widely used embedding API in production ✓State-of-the-art accuracy on financial text ✓Multilingual support for EN/FR/AR finance docs ✓Matryoshka flexible dimension reduction ✓High reliability and uptime SLA ✓Broad ecosystem integration	✓Purpose-built for the financial domain ✓Best-in-class retrieval accuracy on finance docs ✓Recommended by Anthropic for financial RAG ✓Specialized training on financial corpora ✓Superior financial terminology understanding ✓Optimized for high-stakes financial applications
Pros	✓Best overall accuracy for financial embeddings ✓Simple API with broad language support ✓Excellent reliability and low latency ✓Integrates with every major RAG framework	✓Highest retrieval accuracy for financial documents ✓Domain-specific training outperforms general models ✓Recommended by Anthropic for Claude RAG pipelines ✓Excellent for precision-critical finance use cases
Cons	✗Cloud-only, no on-premise option ✗Usage costs at scale for large financial corpora ✗Data sent to OpenAI for processing	✗Cloud-only, no on-premise deployment ✗Higher cost per token than general-purpose models ✗Smaller ecosystem and community
Website	OpenAI Embeddings ↗	Voyage Finance ↗

OpenAI Embeddings vs Voyage Finance