Ratings and Reviews 0 Ratings

Total
ease
features
design
support

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

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

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

Write a Review

Alternatives to Consider

  • Vertex AI Reviews & Ratings
    732 Ratings
    Company Website
  • Amazon Bedrock Reviews & Ratings
    74 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    19 Ratings
    Company Website
  • Parasoft Reviews & Ratings
    128 Ratings
    Company Website
  • Epicor Kinetic Reviews & Ratings
    509 Ratings
    Company Website
  • RaimaDB Reviews & Ratings
    5 Ratings
    Company Website
  • Visual Lease Reviews & Ratings
    372 Ratings
    Company Website
  • Pipeliner CRM Reviews & Ratings
    736 Ratings
    Company Website
  • BidJS Reviews & Ratings
    32 Ratings
    Company Website
  • WinMan ERP Reviews & Ratings
    26 Ratings
    Company Website

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 Codestral Embed?

Codestral Embed represents Mistral AI's first foray into the realm of embedding models, specifically tailored for code to enhance retrieval and understanding. It outperforms notable competitors in the field, such as Voyage Code 3, Cohere Embed v4.0, and OpenAI's large embedding model, demonstrating its exceptional capabilities. The model can produce embeddings in various dimensions and levels of precision, and even at a dimension of 256 with int8 precision, it still holds a competitive advantage over its peers. Users can organize the embeddings based on relevance, allowing them to select the top n dimensions, which strikes a balance between quality and cost-effectiveness. Codestral Embed particularly excels in retrieval applications that utilize real-world code data, showcasing its strengths in assessments like SWE-Bench, which analyzes actual GitHub issues and their resolutions, as well as Text2Code (GitHub), which improves context for tasks such as code editing or completion. Moreover, its adaptability and high performance render it an essential resource for developers aiming to harness sophisticated code comprehension features. Ultimately, Codestral Embed not only enhances code-related tasks but also sets a new standard in embedding model technology.

Media

Media

Integrations Supported

Cohere
GitHub
Mistral AI
Mistral Code

Integrations Supported

Cohere
GitHub
Mistral AI
Mistral Code

API Availability

Has API

API Availability

Has API

Pricing Information

$0.47 per image
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Mistral AI

Date Founded

2023

Company Location

United States

Company Website

mistral.ai/news/codestral-embed

Categories and Features

Popular Alternatives

Codestral Embed Reviews & Ratings

Codestral Embed

Mistral AI

Popular Alternatives

voyage-3-large Reviews & Ratings

voyage-3-large

Voyage AI
voyage-code-3 Reviews & Ratings

voyage-code-3

Voyage AI
voyage-code-3 Reviews & Ratings

voyage-code-3

Voyage AI
voyage-3-large Reviews & Ratings

voyage-3-large

Voyage AI