Audience
Companies wanting a solution providing cost-effective embedding models for legal document analysis, financial data processing, and code retrieval
About voyage-3-large
Voyage AI has unveiled voyage-3-large, a cutting-edge general-purpose and multilingual embedding model that leads across eight evaluated domains, including law, finance, and code, outperforming OpenAI-v3-large and Cohere-v3-English by averages of 9.74% and 20.71%, respectively. Enabled by Matryoshka learning and quantization-aware training, it supports embeddings of 2048, 1024, 512, and 256 dimensions, along with multiple quantization options such as 32-bit floating point, signed and unsigned 8-bit integer, and binary precision, significantly reducing vector database costs with minimal impact on retrieval quality. Notably, voyage-3-large offers a 32K-token context length, surpassing OpenAI's 8K and Cohere's 512 tokens. Evaluations across 100 datasets in diverse domains demonstrate its superior performance, with flexible precision and dimensionality options enabling substantial storage savings without compromising quality.
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Voyage AI
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voyage-4-large
The Voyage 4 model family from Voyage AI is a new generation of text embedding models designed to produce high-quality semantic vectors with an industry-first shared embedding space that lets different models in the series generate compatible embeddings so developers can mix and match models for document and query embedding to optimize accuracy, latency, and cost trade-offs. It includes voyage-4-large (a flagship model using a mixture-of-experts architecture delivering state-of-the-art retrieval accuracy at about 40% lower serving cost than comparable dense models), voyage-4 (balancing quality and efficiency), voyage-4-lite (high-quality embeddings with fewer parameters and lower compute cost), and the open-weight voyage-4-nano (ideal for local development and prototyping with an Apache 2.0 license). All four models in the series operate in a single shared embedding space, so embeddings generated by different variants are interchangeable, enabling asymmetric retrieval strategies.
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Pricing
Free Trial:
Free Trial available.
Integrations
Company Information
MongoDB
Founded: 2007
United States
blog.voyageai.com/2025/01/07/voyage-3-large/
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Product Details
Platforms Supported
Cloud
Training
Documentation
In Person
Support
Phone Support
Online
voyage-3-large Frequently Asked Questions
Q: What kinds of users and organization types does voyage-3-large work with?
voyage-3-large works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does voyage-3-large support in their product?
voyage-3-large supports these languages: English.
Q: What kind of support options does voyage-3-large offer?
voyage-3-large offers support via phone support and online.
Q: What other applications or services does voyage-3-large integrate with?
voyage-3-large integrates with: Cohere, LangChain, OneSignal, PyTorch, Snowflake, and Voyage AI.
Q: What type of training does voyage-3-large provide?
voyage-3-large provides training in the form of documentation and in person.
Q: Does voyage-3-large offer a free trial?
Yes, voyage-3-large offers a free trial.
