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Average Ratings 0 Ratings
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
NVIDIA NeMo Retriever is a suite of microservices designed for creating high-accuracy multimodal extraction, reranking, and embedding workflows while ensuring maximum data privacy. It enables rapid, contextually relevant responses for AI applications, including sophisticated retrieval-augmented generation (RAG) and agentic AI processes. Integrated within the NVIDIA NeMo ecosystem and utilizing NVIDIA NIM, NeMo Retriever empowers developers to seamlessly employ these microservices, connecting AI applications to extensive enterprise datasets regardless of their location, while also allowing for tailored adjustments to meet particular needs. This toolset includes essential components for constructing data extraction and information retrieval pipelines, adeptly extracting both structured and unstructured data, such as text, charts, and tables, transforming it into text format, and effectively removing duplicates. Furthermore, a NeMo Retriever embedding NIM processes these data segments into embeddings and stores them in a highly efficient vector database, optimized by NVIDIA cuVS to ensure faster performance and indexing capabilities, ultimately enhancing the overall user experience and operational efficiency. This comprehensive approach allows organizations to harness the full potential of their data while maintaining a strong focus on privacy and precision.
API Access
Has API
No
API Access
Has API
Yes
Integrations
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
Integrations
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
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
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
Yes
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
Yes
Vendor Details
Company Name
Cohere AI
Founded
2019
Country
Canada
Website
cohere.com/compass
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/nemo-retriever