How to Query Your Database with ChatGPT: Memgraph Edition

Exploring the integration of ChatGPT with graph databases like Memgraph, the text highlights how the natural language processing technology can simplify the learning curve for users unfamiliar with Cypher query language. By demonstrating the process with a Money Heist dataset, it illustrates how users can describe their desired actions in natural language to generate Cypher queries with ChatGPT, facilitating the creation, visualization, and querying of graph databases. Although ChatGPT is shown to be a valuable tool in generating database models and queries, the text emphasizes the importance of fact-checking its outputs due to occasional inaccuracies. The article further demonstrates various query examples, showcasing both successful executions and minor errors that require adjustments, ultimately portraying ChatGPT as a powerful yet imperfect aid in interacting with complex data systems.