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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Cohere Compass serves as a smart enterprise search and discovery platform that links agents and models with business data, equipping AI applications with essential context via robust search and retrieval capabilities. Employing sophisticated extraction techniques along with AI-driven indexing, it effectively identifies and presents pertinent information from enterprise documents with remarkable precision. The system is designed to be multimodal, multilingual, and agnostic to formats, enabling it to comprehend various types of documents, including images, slides, spreadsheets, PDFs, DOCX, and XLSX files. Furthermore, it can integrate with existing data sources or allow for local document uploads, automatically processing, indexing, and managing that information without the need for teams to maintain or scale their own vector database infrastructure. Built on Cohere’s Embed and Rerank retrieval models, Compass not only supports AI agents and retrieval-augmented generation applications but also facilitates a cohesive approach to enterprise knowledge search, enhancing collaboration and decision-making across the organization. Its versatility and efficiency make it an invaluable tool for businesses aiming to leverage their data effectively.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Cohere No 
GitHub Yes 
Gmail Yes 
Google Drive Yes 
Jira Yes 
Linear Yes 
Microsoft Exchange Yes 
Microsoft OneDrive Yes 
Microsoft Outlook Yes 
Microsoft SharePoint Yes 
Model Context Protocol (MCP) Yes 
Notion Yes 
Salesforce Yes 
Slack Yes 
voyage-4-large No 

Integrations

Cohere Yes 
GitHub No 
Gmail No 
Google Drive No 
Jira No 
Linear No 
Microsoft Exchange No 
Microsoft OneDrive No 
Microsoft Outlook No 
Microsoft SharePoint No 
Model Context Protocol (MCP) No 
Notion No 
Salesforce No 
Slack No 
voyage-4-large Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

$0.47 per image
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 Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Cohere AI

Founded

2019

Country

Canada

Website

cohere.com/compass

Vendor Details

Company Name

Cohere

Founded

2019

Country

Canada

Website

cohere.com/embed

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