Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • RaimaDB Reviews & Ratings
    4.8 out of 5 stars 12 Ratings
    Company Website for RaimaDB
  • Gemini Enterprise Agent Platform Reviews & Ratings
    4.3 out of 5 stars 1,161 Ratings
    Company Website for Gemini Enterprise Agent Platform
  • Parasoft Reviews & Ratings
    4.6 out of 5 stars 152 Ratings
    Company Website for Parasoft
  • FISPAN Reviews & Ratings
    5.0 out of 5 stars 5 Ratings
    Company Website for FISPAN
  • Wallester Reviews & Ratings
    4.8 out of 5 stars 277 Ratings
    Company Website for Wallester
  • ScreenMeet Reviews & Ratings
    4.5 out of 5 stars 35 Ratings
  • BidJS Reviews & Ratings
    4.5 out of 5 stars 37 Ratings
    Company Website for BidJS
  • Creatio Reviews & Ratings
    4.6 out of 5 stars 589 Ratings
    Company Website for Creatio
  • LIVE Connect Reviews & Ratings
    4.7 out of 5 stars 47 Ratings
    Company Website for LIVE Connect
  • Yeastar P-Series PBX System Reviews & Ratings
    4.8 out of 5 stars 116 Ratings
    Company Website for Yeastar P-Series PBX System

What is voyage-4-large?

The Voyage 4 model family from Voyage AI signifies a pioneering stage in the development of text embedding models, engineered to produce exceptional semantic vectors via a unique shared embedding space that allows for the generation of compatible embeddings among the various models within the series, thus empowering developers to effortlessly integrate models for both document and query embedding, which significantly boosts accuracy while also considering latency and cost factors. This lineup includes the voyage-4-large, the premier model that utilizes a mixture-of-experts architecture to reach state-of-the-art retrieval accuracy while achieving nearly 40% lower serving costs than comparable dense models; voyage-4, which effectively balances quality with performance; voyage-4-lite, which provides high-quality embeddings with a minimized parameter count and lower computational requirements; and the open-weight voyage-4-nano, ideal for local development and prototyping, distributed under an Apache 2.0 license. The seamless interoperability among these four models, all operating within the same shared embedding space, allows for interchangeable embeddings that foster innovative asymmetric retrieval techniques, which can greatly elevate performance across a wide range of applications. This integrated approach equips developers with a dynamic toolkit that can be customized to address various project demands, establishing the Voyage 4 family as an attractive option in the continuously evolving field of AI-driven technologies. Furthermore, the diverse capabilities and flexibility of these models enable organizations to experiment and adapt their embedding strategies to optimize specific use cases effectively.

What is Neum AI?

No company wants to engage with customers using information that is no longer relevant. Neum AI empowers businesses to keep their AI solutions informed with precise and up-to-date context. Thanks to its pre-built connectors compatible with various data sources, including Amazon S3 and Azure Blob Storage, as well as vector databases like Pinecone and Weaviate, you can set up your data pipelines in a matter of minutes. You can further enhance your data processing by transforming and embedding it through integrated connectors for popular embedding models such as OpenAI and Replicate, in addition to leveraging serverless functions like Azure Functions and AWS Lambda. Additionally, implementing role-based access controls ensures that only authorized users can access particular vectors, thereby securing sensitive information. Moreover, you have the option to integrate your own embedding models, vector databases, and data sources for a tailored experience. It is also beneficial to explore how Neum AI can be deployed within your own cloud infrastructure, offering you greater customization and control. Ultimately, with these advanced features at your disposal, you can significantly elevate your AI applications to facilitate outstanding customer interactions and drive business success.

Media

Media

Integrations Supported

OpenAI
Cohere Embed
Gemini
Hugging Face
MongoDB Atlas
Voyage AI

Integrations Supported

OpenAI
AWS Lambda
Amazon S3
Azure Blob Storage
Azure Functions
ChatGPT
GPT-3
GPT-3.5
GPT-4
Replicate

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Voyage AI

Date Founded

2023

Company Location

United States

Company Website

blog.voyageai.com/2026/01/15/voyage-4/

Company Facts

Organization Name

Neum AI

Company Website

www.neum.ai/

Categories and Features

Embedding Models

Not specified

Categories and Features

AI Development

Not specified

Embedding Models

Not specified

Popular Alternatives

Voyage AI Reviews & Ratings

Voyage AI

MongoDB

Popular Alternatives

txtai Reviews & Ratings

txtai

NeuML
Codestral Embed Reviews & Ratings

Codestral Embed

Mistral AI