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What is NVIDIA NeMo Retriever?

NVIDIA NeMo Retriever comprises a collection of microservices tailored for the development of high-precision multimodal extraction, reranking, and embedding workflows, all while prioritizing data privacy. It facilitates quick and context-aware responses for various AI applications, including advanced retrieval-augmented generation (RAG) and agentic AI functions. Within the NVIDIA NeMo ecosystem and leveraging NVIDIA NIM, NeMo Retriever equips developers with the ability to effortlessly integrate these microservices, linking AI applications to vast enterprise datasets, no matter their storage location, and providing options for specific customizations to suit distinct requirements. This comprehensive toolkit offers vital elements for building data extraction and information retrieval pipelines, proficiently gathering both structured and unstructured data—ranging from text to charts and tables—transforming them into text formats, and efficiently eliminating duplicates. Additionally, the embedding NIM within NeMo Retriever processes these data segments into embeddings, storing them in a highly efficient vector database, which is optimized by NVIDIA cuVS, thus ensuring superior performance and indexing capabilities. As a result, the overall user experience and operational efficiency are significantly enhanced, enabling organizations to fully leverage their data assets while upholding a strong commitment to privacy and accuracy in their processes. By employing this innovative solution, businesses can navigate the complexities of data management with greater ease and effectiveness.

What is Cohere Compass?

Cohere Compass operates as an advanced platform for enterprise search and discovery, seamlessly connecting agents and models with business data to provide AI applications with crucial contextual information through powerful search and retrieval functions. By utilizing advanced extraction methods alongside AI-enhanced indexing, it proficiently identifies and delivers relevant insights from enterprise documents with exceptional accuracy. The platform is designed to be multimodal, multilingual, and independent of specific formats, allowing it to interpret a wide range of document types, such as images, presentations, spreadsheets, PDFs, DOCX, and XLSX files. Additionally, it accommodates integration with existing data sources or supports local document uploads, streamlining the automatic processing, indexing, and management of that data without requiring teams to develop or scale their own vector database infrastructure. Leveraging Cohere’s Embed and Rerank retrieval models, Compass not only aids AI agents and retrieval-augmented generation applications but also promotes a unified approach to enterprise knowledge search, thereby boosting collaboration and informed decision-making throughout the organization. The adaptability and effectiveness of this platform make it a critical asset for businesses looking to maximize their data's potential. Ultimately, its capabilities ensure that organizations can navigate their vast data landscapes with confidence and efficiency.

Media

Media

Integrations Supported

NVIDIA NIM
NVIDIA NeMo

Integrations Supported

GitHub
Gmail
Google Drive
Jira
Linear
Microsoft Exchange
Microsoft OneDrive
Microsoft Outlook
Microsoft SharePoint
Model Context Protocol (MCP)
Notion
Salesforce
Slack

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/nemo-retriever

Company Facts

Organization Name

Cohere AI

Date Founded

2019

Company Location

Canada

Company Website

cohere.com/compass

Categories and Features

Embedding Models

Not specified

Reranking Models

Not specified

Categories and Features

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