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ease
features
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support

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Description

NVIDIA Blueprints serve as comprehensive reference workflows tailored for both agentic and generative AI applications. By utilizing these Blueprints alongside NVIDIA's AI and Omniverse resources, businesses can develop and implement bespoke AI solutions that foster data-driven AI ecosystems. The Blueprints come equipped with partner microservices, example code, documentation for customization, and a Helm chart designed for large-scale deployment. With NVIDIA Blueprints, developers enjoy a seamless experience across the entire NVIDIA ecosystem, spanning from cloud infrastructures to RTX AI PCs and workstations. These resources empower the creation of AI agents capable of advanced reasoning and iterative planning for tackling intricate challenges. Furthermore, the latest NVIDIA Blueprints provide countless enterprise developers with structured workflows essential for crafting and launching generative AI applications. Additionally, they enable the integration of AI solutions with corporate data through top-tier embedding and reranking models, ensuring effective information retrieval on a large scale. As the AI landscape continues to evolve, these tools are invaluable for organizations aiming to leverage cutting-edge technology for enhanced productivity and innovation.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

NVIDIA NIM
NVIDIA NeMo
Accenture AI Refinery
CrewAI
LangChain
LlamaIndex
NVIDIA AI Data Platform
NVIDIA AI Enterprise
NVIDIA AI Foundations
NVIDIA Llama Nemotron
NVIDIA Omniverse

Integrations

NVIDIA NIM
NVIDIA NeMo
Accenture AI Refinery
CrewAI
LangChain
LlamaIndex
NVIDIA AI Data Platform
NVIDIA AI Enterprise
NVIDIA AI Foundations
NVIDIA Llama Nemotron
NVIDIA Omniverse

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/ai-data-science/ai-workflows/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/nemo-retriever

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