Investing in Knowledge Graphs for Question Answering on SQL Databases

This podcast episode explores the role of knowledge graphs in question answering on large language models (LLMs) for enterprise SQL databases. The motivation behind the study is the excitement around LLMs and chat interfaces, but with a focus on structured SQL data. The current text-to-SQL approaches have limitations and are mainly based on small data samples. The hypothesis is that knowledge graph semantics can bridge the gap between technical infrastructure and the needs of businesses. The podcast episode discusses the importance of investing in knowledge graphs for higher accuracy and improved performance in natural language interfaces over SQL databases.