NEW YORK — GigaSpaces has announced the release of a significant new capability for eRAG, its GenAI operational data solution, designed to deliver the intuitive user experience of GPTs such as ChatGPT directly with enterprise operational data.
This new integration addresses the critical "context gap" in Generative AI, enabling organizations to apply it to tangible enterprise use cases such as C-level KPI monitoring, sales acceleration, inventory management and operations optimization.
Solving the "Context Gap" in Generative AI
While tools like ChatGPT have transformed information access, they traditionally fall short when applied to structured data. Standard LLMs do not understand specific enterprise data contexts, cannot interpret complex data schemas, and often struggle with consistency and accuracy. Consequently, businesses have been unable to rely on GPT to tap into their most valuable resource: business data.
eRAG bridges this divide by grounding the conversational power of GPT in an organization’s own structured data. By combining real-time operational data with sophisticated semantic reasoning, eRAG ensures answers are not only immediate but also correct and consistent – enabling organizations to apply AI to the heart of their business.
Key Capabilities and Features
The eRAG integration offers powerful features for IT and AI leaders as well as frontline staff:
- ‘What if’ Brainstorming: According to a recent analysis by Open Router, more than 50% of open source model usage was for roleplay and storytelling. eRAG’s conversational data exploration experience underscores this finding: It answers complex, cross-system questions instantly, supports decisions with suggestions, challenges, and next steps and encourages ‘what if’ brainstorming.
- Trust and Transparency: One of the obstacles to enterprise AI adoption is lack of trust resulting from inaccurate results or hallucinations. Indeed, according to “The state of AI in 2025” report from Mckinsey, 54% of respondents said that inaccuracy is the AI-related risk most organizations are working to mitigate. eRAG is designed to overcome this challenge by grounding results in an organization’s proprietary enterprise data. The solution includes built-in transparency that shows exactly how results are derived and offers a feedback loop for users to provide inputs.
- Visualized Insights: Unlike standard text-only responses, eRAG provides immediate answers visualized as graphs, tables, and summaries, allowing for deeper data exploration.
- AI Agents for Action: Going beyond passive queries, eRAG utilizes AI agents to analyze situational data and suggest concrete plans of action.
Seamless Integration and Fast Time-to-Value
GigaSpaces has designed eRAG for rapid deployment without the need for complex data modeling or preparation. Organizations can connect their data sources and begin seeing results in weeks. The solution is flexible, allowing users to interact via ChatGPT, the dedicated eRAG chatbot, or by integrating it directly into existing AI platforms.
"With operational data at your fingertips, this is the time to change the way you work with data," commented, Adi Paz, GigaSpaces CEO. “eRAG gives forward-looking organizations who want to implement GenAI, the opportunity to benefit from AI by harnessing its power with their operational data – the heartbeat of their business”.
