voyage-4-large

voyage-4-large

Voyage AI
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About

No one wants their AI to respond with out-of-date information to a customer. ‍Neum AI helps companies have accurate and up-to-date context in their AI applications. Use built-in connectors for data sources like Amazon S3 and Azure Blob Storage, vector stores like Pinecone and Weaviate to set up your data pipelines in minutes. Supercharge your data pipeline by transforming and embedding your data with built-in connectors for embedding models like OpenAI and Replicate, and serverless functions like Azure Functions and AWS Lambda. Leverage role-based access controls to make sure only the right people can access specific vectors. Bring your own embedding models, vector stores and sources. Ask us about how you can even run Neum AI in your own cloud.

About

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers searching for a platform to connect and sync data into vector stores for fast query and search

Audience

AI developers and engineers building retrieval-based AI systems, semantic search, and context-aware agents who need high-accuracy, flexible, and cost-optimized text embedding models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Neum AI
www.neum.ai/

Company Information

Voyage AI
Founded: 2023
United States
blog.voyageai.com/2026/01/15/voyage-4/

Alternatives

Alternatives

Voyage AI

Voyage AI

MongoDB
txtai

txtai

NeuML
Codestral Embed

Codestral Embed

Mistral AI

Categories

Categories

Integrations

OpenAI
AWS Lambda
Amazon S3
Azure Blob Storage
Azure Functions
ChatGPT
Cohere Embed
GPT-3
GPT-3.5
GPT-4
Gemini
Hugging Face
MongoDB Atlas
Replicate
Voyage AI

Integrations

OpenAI
AWS Lambda
Amazon S3
Azure Blob Storage
Azure Functions
ChatGPT
Cohere Embed
GPT-3
GPT-3.5
GPT-4
Gemini
Hugging Face
MongoDB Atlas
Replicate
Voyage AI
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