Large Language Models and Knowledge Graphs

Join us at 5:15 for networking and food in the downstairs meeting room at Ad Astra in downtown Overland Park. The talk will begin at 5:30. Contact the hosts for a Teams link if you would like to attend remotely.

Knowledge graphs are a powerful way to represent information, but the labor intensive process of creating knowledge graphs has been a barrier to their adoption. Large language models like ChatGPT can accelerate and automate knowledge graph creation, turning unstructured text into a rich, reliable source of new insights.

In this session we will use a large language model to extract entities from a corpus of text, load the entities into Neo4j, and use a large language model to generate Cypher queries to answer questions from the graph.