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eRAG GenAI

ChatGPT with your Operational Data. Just Ask!

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Overview

GigaSpaces eRAG is a groundbreaking GenAI product that gives you the power of ChatGPT with your operational structured data and tap into the heartbeat of your business. With eRAG, you can easily ask questions, dive deeper with follow-up questions and enjoy amazing real-time, ad hoc data exploration all with the terrific ChatGPT user experience. It democratizes insights so every employee can make effective decisions. eRAG connects your business data with external events, so that you can weigh the effect of new tax legislation or weather disruptions on your operations.eRAG is used by business leaders organizations across industries:Operations leaders use eRAG to identify bottlenecks, and improve efficiency in areas such as order timelines and supply statusBusiness leaders use eRAG for critical data related to finances, planning and compliance, for example, assessing expansion viability based on branch performanceLogistics managers use eRAG to lower the cost of delivery routesSales managers use eRAG optimize sales growth and customer acquisitioneRAG deploys safely in 23 weeks without pipelines or prep. Through a self-serve UI, IT teams can connect SQL-based databases like Oracle, PostgreSQL, SAP and other systems in just a few clicks. No ETL, data prep, data modeling or special configuration required. eRAG is built to meet enterprise standards from the ground up, so that data stays private and is never shared with public LLMs or used to train LLMs outside of your secure instance. Encryption and access controls ensure data protection and secure access.eRAG combines all your operational data sources so you can get a full, unified picture of your business, offering measurable revenue and efficiency outcomes. With its sophisticated semantic reasoning capabilities, eRAG ensures you get accurate, consistent answers.

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Pros and Cons

Pros

  • +Transforms structured data
  • +No need for ETL
  • +IT-friendly
  • +Understands natural language queries in multiple languages
  • +Advanced semantic reasoning
  • +Translates queries into SQL

Cons

  • -Deploys within 2-3 weeks
  • -No indication of scalability
  • -Requires live data access
  • -No explicit data history tracking
  • -Requires natural language inputs

Categories

  • Primary: Work
  • Secondary: Business
  • Specialty: Data