Constructing Knowledge Graphs with LLMs

This chapter explores the automatic construction of knowledge graphs using structured and unstructured text inputs. The discussion covers the extraction of policies, entity generation, and the use of language models to improve dialogue systems. Additionally, it emphasizes the importance of simulating user interactions for evaluating AI agents and the potential for enhancing graph generation capabilities.