Introducing Voyage-Finance-2: Revolutionizing Financial Data Retrieval
The financial sector is a data-intensive industry where precision and accuracy are paramount. To address these unique demands, Voyage AI has developed the voyage-finance-2, a domain-specific embedding model tailored for financial data retrieval and retrieval-augmented generation (RAG).
Unmatched Performance
Voyage-finance-2 has undergone rigorous evaluation across 11 different finance retrieval datasets, including financial news, public filings, and financial reports. It consistently outperformed leading models like OpenAI and Cohere, boasting a 7% improvement over OpenAI and a 12% gain over Cohere. Notably, when tested on SEC filings, it achieved a 54% accuracy rate, significantly surpassing OpenAI's general-purpose model, which managed only 38.5% accuracy.
Extended Context Length
This model supports a context length of 32K tokens, dwarfing other models such as Mistral (8K) and Cohere English v3 (512). This extended context allows for more comprehensive data processing, which is essential in handling complex financial queries.
Domain-Specific Optimization
Voyage-finance-2 is meticulously trained for the finance domain, which equips it to handle industry-specific terminology and concepts with ease. This specialization is crucial for achieving high retrieval quality in domains requiring expert-level understanding.
Seamless Integration
The model can be effortlessly integrated into various applications, including platforms like Zilliz Cloud and Microsoft Azure Marketplace. Users can specify voyage-finance-2 as the model parameter to enhance both corpus and query capabilities significantly.
Cost and Efficiency
While the model may take a few minutes to process test data, the accuracy it offers justifies the time and cost, especially when precision is crucial. General-purpose models might be faster and cheaper, but they cannot match the accuracy of voyage-finance-2 in financial contexts.
Proven Datasets and Metrics
Voyage-finance-2 has been tested on comprehensive datasets such as TAT-QA, FinanceBench, and ConvFinQA, proving its robust performance in various financial retrieval tasks.
In conclusion, voyage-finance-2 is a groundbreaking tool for financial data retrieval, offering unmatched accuracy and domain-specific insights, making it an invaluable resource for applications that demand precision in financial information handling.
