Cohere EmbedCohere
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Progress Agentic RAGProgress Software
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Related Products
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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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About
Progress Agentic RAG is a SaaS Retrieval-Augmented Generation platform that automatically indexes, searches, and generates AI-powered insights from structured and unstructured business data, including documents, emails, video, slides, and more, by combining RAG with agentic workflows that reason, classify, summarize, and answer queries with traceable, verifiable results without requiring users to build and manage their own RAG infrastructure. Designed as a modular no-code RAG-as-a-Service solution, it accelerates AI readiness by letting organizations extract contextual intelligence and business knowledge using natural language queries and quality-driven output metrics while integrating with any leading Large Language Model (LLM) and supporting multilingual, multimodal content indexing and retrieval. Features include AI summarization and classification, generated Q&A from enterprise data, a Prompt Lab for validating LLM behavior with custom prompts.
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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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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
AI teams seeking a solution for generating high-quality, multimodal embeddings that enhance search accuracy and contextual understanding
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Audience
Developers, data teams, and enterprises searching for a tool to index, search, and generate trustworthy insights from unstructured data using retrieval-augmented generation with AI agents
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0.47 per image
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$700 per month
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Company InformationCohere
Founded: 2019
Canada
cohere.com/embed
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Company InformationProgress Software
United States
www.progress.com/agentic-rag
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Categories |
Categories |
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Integrations
Amazon
Not Supported
Amazon S3
Not Supported
Claude
Not Supported
Claude Duet
Not Supported
Claude for Legal
Not Supported
Cohere
Supported
Dropbox
Not Supported
GPT-4o
Not Supported
GPT-4o mini
Not Supported
Gemini
Not Supported
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Integrations
Amazon
Supported
Amazon S3
Supported
Claude
Supported
Claude Duet
Supported
Claude for Legal
Supported
Cohere
Not Supported
Dropbox
Supported
GPT-4o
Supported
GPT-4o mini
Supported
Gemini
Supported
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