Maximising Efficiency: The Power of ChatGPT and Neo4j for Creating and Importing Sample Datasets

As a Customer Success Manager at Neo4j, the author leverages ChatGPT to create and import sample datasets into their graph technology platform. Using Visual Studio Code and node.js, they utilize ChatGPT's capabilities to generate scripts that produce usable data models and transactions between accounts in a simple banking scenario. The generated scripts are then imported into Neo4j using packaged node.js scripts or Cypher queries, with the author making some minor adjustments before importing large datasets. After completing this process, which took less than an hour, the author notes that while ChatGPT is incredibly powerful, there is still a need for underlying knowledge of systems and processes to refine and improve the generated output.