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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Design AI agents capable of reasoning, planning, reflecting, and refining to create comprehensive reports utilizing selected source materials. An AI research agent, drawing from a multitude of data sources, can condense extensive research efforts into mere minutes. The AI-Q NVIDIA Blueprint empowers developers to construct AI agents that leverage reasoning skills and connect with various data sources and tools, efficiently distilling intricate source materials with remarkable precision. With AI-Q, these agents can summarize vast data collections, generating tokens five times faster while processing petabyte-scale data at a rate 15 times quicker, all while enhancing semantic accuracy. Additionally, the system facilitates multimodal PDF data extraction and retrieval through NVIDIA NeMo Retriever, allows for 15 times faster ingestion of enterprise information, reduces retrieval latency by three times, and supports multilingual and cross-lingual capabilities. Furthermore, it incorporates reranking techniques to boost accuracy and utilizes GPU acceleration for swift index creation and search processes, making it a robust solution for data-driven reporting. Such advancements promise to transform the efficiency and effectiveness of AI-driven analytics in various sectors.

Description

Progress Agentic RAG is a SaaS platform that enhances Retrieval-Augmented Generation by automatically indexing, searching, and producing AI-driven insights from both structured and unstructured business information, such as documents, emails, videos, and presentations. It achieves this by merging RAG with intelligent workflows that can reason, classify, summarize, and answer inquiries while providing traceable and verifiable outcomes, all without necessitating that users create or manage their own RAG infrastructure. This solution is modular and operates as a no-code RAG-as-a-Service, facilitating AI readiness for organizations by allowing them to extract contextual intelligence and business insights through natural language queries and output metrics focused on quality. Furthermore, it seamlessly integrates with any leading Large Language Model (LLM) and accommodates multilingual and multimodal content for indexing and retrieval. Noteworthy features include AI-driven summarization and classification, the generation of Q&A from enterprise data, and a Prompt Lab that enables the validation of LLM behavior through customized prompts. Additionally, the platform is designed to enhance user experience by simplifying complex tasks and ensuring that organizations can derive maximum value from their data effortlessly.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon
Amazon S3
Claude
Dropbox
GPT-4o
GPT-4o mini
Gemini
Gemini 2.5 Flash
Google Drive
Jira
Microsoft Azure
Microsoft SharePoint
Milvus
NVIDIA AI Data Platform
NVIDIA AI Enterprise
NVIDIA NeMo
OpenAI
Slack
Tavily
Zendesk

Integrations

Amazon
Amazon S3
Claude
Dropbox
GPT-4o
GPT-4o mini
Gemini
Gemini 2.5 Flash
Google Drive
Jira
Microsoft Azure
Microsoft SharePoint
Milvus
NVIDIA AI Data Platform
NVIDIA AI Enterprise
NVIDIA NeMo
OpenAI
Slack
Tavily
Zendesk

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$700 per month
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

build.nvidia.com/nvidia/aiq

Vendor Details

Company Name

Progress Software

Country

United States

Website

www.progress.com/agentic-rag

Alternatives

Alternatives

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