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What is eRAG?

GigaSpaces eRAG (Enterprise Retrieval Augmented Generation) is an AI-centric platform designed to enhance decision-making within businesses by enabling natural language communication with structured data sources like relational databases. Unlike traditional generative AI models that can often yield unreliable or fabricated outputs when dealing with structured data, eRAG employs deep semantic reasoning to transform user questions into SQL queries, retrieve relevant data, and produce accurate, context-aware responses. This pioneering approach ensures that the information provided is drawn from real-time, dependable data, thereby mitigating the risks associated with unverified outputs from AI systems. In addition, eRAG seamlessly integrates with diverse data sources, allowing organizations to fully leverage their existing data infrastructure. Beyond its integration capabilities, eRAG features comprehensive governance tools that monitor user interactions to maintain compliance with regulatory standards, thus encouraging responsible use of AI technology. This multifaceted strategy not only improves decision-making but also strengthens data integrity and regulatory compliance throughout the organization. As a result, organizations can trust that their AI-driven insights are both accurate and aligned with best practices in data management.

What is Progress Agentic RAG?

Progress Agentic RAG is a Software as a Service (SaaS) solution that significantly improves Retrieval-Augmented Generation by automatically organizing, searching, and generating AI-driven insights from various forms of business information, including documents, emails, videos, and presentations. This platform effectively integrates RAG with intelligent workflows capable of reasoning, classification, summarization, and inquiry response, all while delivering traceable and verifiable results, eliminating the need for users to construct or oversee their own RAG framework. Its modular design functions as a no-code RAG-as-a-Service, promoting AI readiness in organizations by enabling the extraction of contextual intelligence and business insights through natural language queries, with an emphasis on quality-focused output metrics. Additionally, it effortlessly connects with any prominent Large Language Model (LLM) and supports multilingual and multimodal content for effective indexing and retrieval. Among its notable features are AI-driven summarization and classification, the ability to generate question-and-answer pairs from enterprise data, and a Prompt Lab facilitating the testing of LLM behavior with tailored prompts. The platform is also created to improve user experience by streamlining intricate tasks, thus ensuring that organizations can unlock the full potential of their data with ease. Ultimately, Progress Agentic RAG empowers businesses to harness their information effectively, driving insightful decision-making and operational efficiency.

Media

Media

Integrations Supported

Amazon RDS
GigaSpaces
Google Cloud BigQuery
IBM Db2
Oracle Database
PostgreSQL
SAP Cloud Platform

Integrations Supported

Amazon
Amazon S3
Claude
Claude Duet
Claude for Legal
Gemini
Gemini 2.5 Flash
Google Drive
Jira
Microsoft SharePoint
OpenAI
Slack
Zendesk

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$700 per month
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard 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

Company Facts

Organization Name

GigaSpaces

Date Founded

2000

Company Location

Israel

Company Website

www.gigaspaces.com/products/erag

Company Facts

Organization Name

Progress Software

Company Location

United States

Company Website

www.progress.com/agentic-rag

Categories and Features

Categories and Features

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