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What is Cohere Embed?

Cohere's Embed emerges as a leading multimodal embedding solution that adeptly transforms text, images, or a combination of the two into superior vector representations. These vector embeddings are designed for a multitude of uses, including semantic search, retrieval-augmented generation, classification, clustering, and autonomous AI applications. The latest iteration, embed-v4.0, enhances functionality by enabling the processing of mixed-modality inputs, allowing users to generate a cohesive embedding that incorporates both text and images. It includes Matryoshka embeddings that can be customized in dimensions of 256, 512, 1024, or 1536, giving users the ability to fine-tune performance in relation to resource consumption. With a context length that supports up to 128,000 tokens, embed-v4.0 is particularly effective at managing large documents and complex data formats. Additionally, it accommodates various compressed embedding types such as float, int8, uint8, binary, and ubinary, which aid in efficient storage solutions and quick retrieval in vector databases. Its multilingual support spans over 100 languages, making it an incredibly versatile tool for global applications. As a result, users can utilize this platform to efficiently manage a wide array of datasets, all while upholding high performance standards. This versatility ensures that it remains relevant in a rapidly evolving technological landscape.

What is Command R+?

Cohere has unveiled Command R+, its newest large language model crafted to enhance conversational engagements and efficiently handle long-context assignments. This model is specifically designed for organizations aiming to move beyond experimentation and into comprehensive production. We recommend employing Command R+ for processes that necessitate sophisticated retrieval-augmented generation features and the integration of various tools in a sequential manner. On the other hand, Command R is ideal for simpler retrieval-augmented generation tasks and situations where only one tool is used at a time, especially when budget considerations play a crucial role in the decision-making process. By choosing the appropriate model, organizations can optimize their workflows and achieve better results.

Media

Media

No images available

Integrations Supported

Cohere
Azure Marketplace
MindMac
Symflower

Integrations Supported

Cohere
Azure Marketplace
MindMac
Symflower

API Availability

Has API

API Availability

Has API

Pricing Information

$0.47 per image
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cohere

Date Founded

2019

Company Location

Canada

Company Website

cohere.com/embed

Company Facts

Organization Name

Cohere AI

Date Founded

2019

Company Location

Canada

Company Website

cohere.com

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