Cohere EmbedCohere
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Related Products
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About
Retrieval-augmented generation, agents, and more start building in the cloud and deploying on your server. We charge a flat fee per request. There are two types of requests: document indexation and generation. Document indexation is the addition of a document to your knowledge base. Document indexation, which is the addition of a document to your knowledge base and generation, which creates LLM writing based on your knowledge base RAG. Build a RAG workflow by deploying off-the-shelf components and prototype a system that works for your case. We support many auxiliary features, including reverse tracing of output to documents, and ingestion for many file formats. Enable the LLM to use tools by leveraging Agents. An Agent-powered system can decide which data it needs and search for it. Our implementation of agents provides a simple hosting for execution layers and pre-build agents for many use cases.
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About
Cohere's Embed is a leading multimodal embedding platform designed to transform text, images, or a combination of both into high-quality vector representations. These embeddings are optimized for semantic search, retrieval-augmented generation, classification, clustering, and agentic AI applications. The latest model, embed-v4.0, supports mixed-modality inputs, allowing users to combine text and images into a single embedding. It offers Matryoshka embeddings with configurable dimensions of 256, 512, 1024, or 1536, enabling flexibility in balancing performance and resource usage. With a context length of up to 128,000 tokens, embed-v4.0 is well-suited for processing large documents and complex data structures. It also supports compressed embedding types, including float, int8, uint8, binary, and ubinary, facilitating efficient storage and faster retrieval in vector databases. Multilingual support spans over 100 languages, making it a versatile tool for global applications.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers and organizations wanting a solution to build LLM applications
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Audience
AI teams seeking a solution for generating high-quality, multimodal embeddings that enhance search accuracy and contextual understanding
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
2¢ per generation request
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$0.47 per image
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Company InformationByne
United Kingdom
www.bynedocs.com
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Company InformationCohere
Founded: 2019
Canada
cohere.com/embed
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Categories |
Categories |
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Integrations
Cohere
Not Supported
Gmail
Supported
Google Cloud Platform
Supported
Google Drive
Supported
Hugging Face
Supported
OpenAI
Supported
voyage-4-large
Not Supported
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Integrations
Cohere
Supported
Gmail
Not Supported
Google Cloud Platform
Not Supported
Google Drive
Not Supported
Hugging Face
Not Supported
OpenAI
Not Supported
voyage-4-large
Supported
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