eRAG is the ideal solution for querying operational databases in natural language and getting the right answers instantly. 

eRAG lets you:

• Ask questions in your own words in any language 
• Have meaningful dialogues to fine tune your questions; ask follow up questions to refine, enrich and focus on particular aspects of previously provided answers
• Branch out to new questions, with eRAG automatically recognizing the shift in conversation
• Regenerate the answer to a previously asked question, by providing negative feedback or by triggering ‘regenerate’
• Re-run past queries, to get updated results without regenerating the SQL; for example, when previous results are satisfactory, but you want to refresh them with fresh source data 

All interactions are normalized through English. This approach enables accurate cross-language communication without relying solely on language-specific training data. 

eRAG’s is designed from the bottom up to ensures data integrity by refusing to fabricate answers when data is missing from associated tables. Instead, it provides guidance to users about insufficient information. It identifies potentially relevant tables not yet integrated, enabling data experts to expand data sources so that data is continuously updated and expanded.