Improving Accuracy with Knowledge Graphs in Question Answering

This chapter explores the use of knowledge graphs in improving the accuracy of question answering systems based on large language models (LLMs). It discusses a benchmark that evaluates the impact of knowledge graphs on LLM-based question answering for enterprise SQL databases, highlighting the significant improvement in accuracy. The chapter emphasizes the importance of investing in knowledge graphs for enhancing the performance of AI systems.