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.
What are the main challenges in querying structured enterprise data?
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.
With which data sources does eRAG integrate?
eRAG integrates with all structured data sources, including data bases such as Oracle, PostgreSQL, MSSQL, SAP, Google Big Query, MySQL and more.
What are a few examples of common use cases for eRAG?
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.
Why is it so important for business users to be able to access structured data?
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 organizationโs data, and lack the context to be able to deliver accurate, trustworthy answers that will positively impact business performance.
Do you store data or metadata in your eRAG solution?
eRAGโs cache stores the metadata of commonly asked queries, but does not store the data itself.
How is eRAG different from BI Tools?
While BI is designed for predefined data, such as weekly reports, eRAG is used by professionals who need ad-hoc information that can be pulled from multiple data sources. BI platforms require a major, organizational level implementation including data movement, dashboard design and implementation by BI teams. eRAG is implemented independently per department or functional group. No coding is required once the initial setup is complete - all users need to do is ask questions in their own words.
What is the pricing structure?
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.
What is the cost for using LLMs like ChatGPT and IBM Watsonx?
eRAG incorporates its consumption of the LLMs in its pricing, so there are no additional charges for LLM usage.
What are the deployment options for eRAG?
eRAG is a SaaS solution that GigaSpaces hosts and manages.
Which cloud do you use to host eRAG?
eRAG is deployed on AWS.
Is eRAG compliant with regulations?
Yes, eRAG is compliant with a number of regulations such as the EU AI Act.
