eRAG

eRAG (Enterprise Retrieval-Augmented Generation) allows enterprises to interact with their structured data using natural language. It provides immediate insights without requiring SQL expertise, greatly enhancing speed and agility for business users.

Data stored in enterprise systems often follows complex schemas that can be difficult to navigate, and the data is typically stored in disparate silos across different applications, or regions. Technical experts are usually required to extract the required data, making it impossible to obtain real-time information.

eRAG builds semantic understanding of tables and relationships across databases, federates the query, pushes down logic to each source, and merges the results into one coherent response.   eRAG is designed for live systems. It works with fresh data and adapts as schemas and sources evolve, without breaking user experience.

eRAG is used by industries where employees need quick access to real-time information, such as retail, logistics, tourism and transportation, among many others. Users can ask ad-hoc questions in natural language and get instant answers from databases - no need for any SQL queries.

Business users want to benefit from the power of GenAI, for those quick insights that can improve business outcomes. LLMs are not trained on their organization’s data, and lack the context to be able to deliver accurate, trustworthy answers that will positively impact business performance.

eRAG’s cache stores the metadata of commonly asked queries, but does not store the data itself.

No. It sits on top of your existing systems, using them as-is. eRAG adds an intelligence layer that turns these systems into a single, conversational data fabric. eRAG is designed for live systems. It works with fresh data and adapts as schemas and sources evolve, without breaking the user experience.   BI is designed for predefined data such as weekly reports, and is implemented across the organization by BI teams, often requiring data movement, dashboard design and other technical procedures.   eRAG is used by professionals who need ad-hoc information that can be pulled from multiple data sources. eRAG is implemented independently per department or functional group. No coding is required once the initial setup is complete.

The pricing structure consists of a fixed monthly base fee plus a per-user charge. The Basic tier is designed for smaller teams with limited data requirements; the Professional tier serves organizations with many teams and offers more connections to data sources and fields. For organizations with unique requirements, speak with us for details.

eRAG incorporates its consumption of the LLMs in its pricing, so there are no additional charges for LLM usage.

eRAG is a SaaS solution that GigaSpaces hosts and manages.

eRAG is deployed on AWS.

GigaSpaces upholds these compliance standards and certifications for eRAG: ISO 27001 certified, GDPR compliant, EU AI Act compliant, DORA (standard ICT provider) compliant, and currently seeking SOC2 certification by Q2 of 2025. eRAG respects existing permissions in each system and enforces them end-to-end, so users only see what they are allowed to see, even across federated sources.

eRAG detects ambiguity and asks clarifying questions, just like a human analyst would, instead of guessing or returning misleading results.

Yes, eRAG can show which sources were used, what logic was applied, and why a result makes sense, building trust and transparency for business users.

It decouples business intelligence from any single database or vendor. As your data stack evolves, eRAG remains the stable conversational layer on top.