Understanding the Role of Knowledge Graphs on Large Language Model’s Accuracy for Question Answering on Enterprise SQL Databases

This chapter explores the impact of knowledge graphs on the accuracy of large language models in answering natural language questions on enterprise SQL databases. It emphasizes the need to separate signal from noise and introduces research questions regarding the performance of these models in an enterprise setting with complex data and metrics.