Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Cohere's Embed stands out as a premier multimodal embedding platform that effectively converts text, images, or a blend of both into high-quality vector representations. These vector embeddings are specifically tailored for various applications such as semantic search, retrieval-augmented generation, classification, clustering, and agentic AI. The newest version, embed-v4.0, introduces the capability to handle mixed-modality inputs, permitting users to create a unified embedding from both text and images. It features Matryoshka embeddings that can be adjusted in dimensions of 256, 512, 1024, or 1536, providing users with the flexibility to optimize performance against resource usage. With a context length that accommodates up to 128,000 tokens, embed-v4.0 excels in managing extensive documents and intricate data formats. Moreover, it supports various compressed embedding types such as float, int8, uint8, binary, and ubinary, which contributes to efficient storage solutions and expedites retrieval in vector databases. Its multilingual capabilities encompass over 100 languages, positioning it as a highly adaptable tool for applications across the globe. Consequently, users can leverage this platform to handle diverse datasets effectively while maintaining performance efficiency.
Description
SubQ Snap is a comprehensive hosted multimodal decision-making framework aimed at developers who are creating AI agents and enterprise workflows. By utilizing Subquadratic’s API, applications can transmit both text and image data along with specific inquiries, receiving organized responses that may include labels, choices, scores, and probabilities. This functionality aids in various tasks, such as selecting tools and files, routing decisions, triaging information, implementing guardrails, ranking items, classifying data, and verifying whether a test or result aligns with predetermined criteria. Capable of processing up to 384K tokens of context and accommodating image inputs, the model is specifically crafted for making bounded decisions rather than generating open-ended text, making it an effective complement to language models used for planning or content creation. Furthermore, the public-preview API documentation provides detailed examples of requests, information on accessing the model, and various decision formats that users can leverage. Overall, this innovative approach streamlines the decision-making process for developers, enhancing the efficiency of AI-driven applications.
API Access
Has API
No
API Access
Has API
Yes
Pricing Details
$0.47 per image
Free Trial
No
Free Version
No
Pricing Details
$0.05/1M input tokens
$0.05 per 1 million input tokens; output tokens are free. SubQ Snap is in public preview, with access subject to capacity limits.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cohere
Founded
2019
Country
Canada
Website
cohere.com/embed
Vendor Details
Company Name
Subquadratic
Founded
2025
Country
United States
Website
subq.ai/