Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Vertex AI Reviews & Ratings
    732 Ratings
    Company Website
  • NemoVote Reviews & Ratings
    65 Ratings
    Company Website
  • Docket Reviews & Ratings
    53 Ratings
    Company Website
  • Amazon Bedrock Reviews & Ratings
    74 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    19 Ratings
    Company Website
  • PackageX OCR Scanning Reviews & Ratings
    46 Ratings
    Company Website
  • Pipeliner CRM Reviews & Ratings
    736 Ratings
    Company Website
  • LogicalDOC Reviews & Ratings
    121 Ratings
    Company Website
  • Parasoft Reviews & Ratings
    130 Ratings
    Company Website
  • Nutrient SDK Reviews & Ratings
    94 Ratings
    Company Website

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 Azure AI Search?

Deliver outstanding results through a sophisticated vector database tailored for advanced retrieval augmented generation (RAG) and modern search techniques. Focus on substantial expansion with an enterprise-class vector database that incorporates robust security protocols, adherence to compliance guidelines, and ethical AI practices. Elevate your applications by utilizing cutting-edge retrieval strategies backed by thorough research and demonstrated client success stories. Seamlessly initiate your generative AI application with easy integrations across multiple platforms and data sources, accommodating various AI models and frameworks. Enable the automatic import of data from a wide range of Azure services and third-party solutions. Refine the management of vector data with integrated workflows for extraction, chunking, enrichment, and vectorization, ensuring a fluid process. Provide support for multivector functionalities, hybrid methodologies, multilingual capabilities, and metadata filtering options. Move beyond simple vector searching by integrating keyword match scoring, reranking features, geospatial search capabilities, and autocomplete functions, thereby creating a more thorough search experience. This comprehensive system not only boosts retrieval effectiveness but also equips users with enhanced tools to extract deeper insights from their data, fostering a more informed decision-making process. Furthermore, the architecture encourages continual innovation, allowing organizations to stay ahead in an increasingly competitive landscape.

Media

Media

Integrations Supported

Azure AI Foundry Agent Service
Azure AI Services
Azure Machine Learning
Azure Marketplace
Azure OpenAI Service
Cognee
Microsoft Azure
Microsoft Copilot Studio
Microsoft Intelligent Data Platform
NVIDIA NIM
NVIDIA NeMo
Titan CMS

Integrations Supported

Azure AI Foundry Agent Service
Azure AI Services
Azure Machine Learning
Azure Marketplace
Azure OpenAI Service
Cognee
Microsoft Azure
Microsoft Copilot Studio
Microsoft Intelligent Data Platform
NVIDIA NIM
NVIDIA NeMo
Titan CMS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.11 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/nemo-retriever

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/ai-services/ai-search/

Categories and Features

Categories and Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Popular Alternatives

Popular Alternatives