How to Build Knowledge Graphs With LLMs (python tutorial)

Video Description

My previous video, showcasing how to use Large Language Models (LLMs) together with graph databases like Neo4J, had a lot of traction and many people were asking for details on the implementation. So, here’s a technical walkthrough from scratch, going through how I built the demo step by step. Watch the previous video here: https://www.youtube.com/watch?v=nPG_jKrSpi0 Connect with me on LinkedIn: https://www.linkedin.com/in/johannesjolkkonen/ Code repository for this video: https://github.com/JohannesJolkkonen/gettingdata-samples/blob/main/knowledge-graph-demo ▬▬▬▬▬▬ T I M E S T A M P S ▬▬▬▬▬▬ 0:00 - Intro 1:03 - Environment overview 2:47 - Neo4J & OpenAI Configuration 7:50 - Helper functions 9:15 - Identifying entities and relationships in data 21:49 - Generating Cypher Statements 33:20 - Running the full pipeline 38:30 - Monitoring token consumption