Cohere CompassCohere AI
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MonoQwen-VisionLightOn
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Related Products
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About
Cohere Compass is an intelligent enterprise search and discovery system that connects agents and models to business data, giving AI applications the context they need through powerful search and retrieval. It uses advanced extraction processes and AI-powered indexing to surface relevant information from enterprise documents with high accuracy. Compass is multimodal, multilingual, and format-agnostic, allowing it to understand images, slides, spreadsheets, PDFs, DOCX files, XLSX files, and other document types. It can connect to existing data sources or accept local document uploads, then automatically process, index, and manage that information without requiring teams to host or scale their own vector database. It is built on Cohere’s Embed and Rerank retrieval models and can support AI agents, retrieval-augmented generation applications, and unified enterprise knowledge search.
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About
MonoQwen2-VL-v0.1 is the first visual document reranker designed to enhance the quality of retrieved visual documents in Retrieval-Augmented Generation (RAG) pipelines. Traditional RAG approaches rely on converting documents into text using Optical Character Recognition (OCR), which can be time-consuming and may result in loss of information, especially for non-textual elements like graphs and tables. MonoQwen2-VL-v0.1 addresses these limitations by leveraging Visual Language Models (VLMs) that process images directly, eliminating the need for OCR and preserving the integrity of visual content. This reranker operates in a two-stage pipeline, initially, it uses separate encoding to generate a pool of candidate documents, followed by a cross-encoding model that reranks these candidates based on their relevance to the query. By training a Low-Rank Adaptation (LoRA) on top of the Qwen2-VL-2B-Instruct model, MonoQwen2-VL-v0.1 achieves high performance without significant memory overhead.
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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
Developers, AI teams, and enterprises seeking to connect agents and applications to internal data through secure, scalable search and retrieval
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Audience
Companies working with visually rich documents requiring a solution to enhance retrieval accuracy and efficiency in OCR-free RAG systems
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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
Not Supported
Online
Supported
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API
Offers API
Not 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
No information available.
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
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
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationCohere AI
Founded: 2019
Canada
cohere.com/compass
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Company InformationLightOn
Founded: 2016
France
www.lighton.ai/lighton-blogs/monoqwen-vision
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AlternativesNo Alternatives
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Categories |
Categories |
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Integrations
GitHub
Supported
Gmail
Supported
Google Drive
Supported
Jira
Supported
Linear
Supported
Microsoft Exchange
Supported
Microsoft OneDrive
Supported
Microsoft Outlook
Supported
Microsoft SharePoint
Supported
Model Context Protocol (MCP)
Supported
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Integrations
GitHub
Not Supported
Gmail
Not Supported
Google Drive
Not Supported
Jira
Not Supported
Linear
Not Supported
Microsoft Exchange
Not Supported
Microsoft OneDrive
Not Supported
Microsoft Outlook
Not Supported
Microsoft SharePoint
Not Supported
Model Context Protocol (MCP)
Not Supported
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