An enterprise Text-to-SQL chatbot augmented with a knowledge graph, context ranking, and query-fixing agents achieves 53% correct or nearly correct answers on LinkedIn's internal benchmark, with knowledge graph components responsible for most of the gain.
Venkatesh Emani, Vivek Pandit, Victor Shnayder, Wenjing Wang, and Carlo Curino
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Text-to-SQL for Enterprise Data Analytics
An enterprise Text-to-SQL chatbot augmented with a knowledge graph, context ranking, and query-fixing agents achieves 53% correct or nearly correct answers on LinkedIn's internal benchmark, with knowledge graph components responsible for most of the gain.