GigaSpaces eRAG GenAI pulls real business data into conversational AI. No enterprise headaches. You ask complex questions that span multiple systems. You get answers grounded in your actual operational data — not generic responses that miss context.
Most RAG approaches struggle with enterprise databases. eRAG learns your operational data and context across different systems. Ask about inventory levels while referencing last quarter's sales trends. Current supplier delays too. eRAG connects those dots instantly.
It doesn't just answer questions either. eRAG suggests next steps. It challenges assumptions based on what it finds in your data.
A supply chain director juggling vendor performance across three different systems could ask "Which suppliers are causing delays and how does that impact our Q4 revenue projections?" The answer comes back with specific data points and actionable recommendations.
GigaSpaces built this for enterprises drowning in siloed data. You can deploy eRAG in 2-3 weeks without building data pipelines or extensive prep work. eRAG handles multiple data sources. It includes proactive AI governance features.
The company claims this is the only solution that lets you "GPT across ALL your business data." Bold statement. Crowded market. GigaSpaces integrates with IBM and AWS environments, making it accessible for most enterprise tech stacks. You're not rebuilding infrastructure to get conversational AI that actually knows your business.
