Transforming CSV Files into Graphs with LLMs: A Step-by-Step Guide
SMRTR summary
A new approach uses large language models (LLMs) to create graph data models from CSV files through an iterative process. The method analyzes columns, generates a data schema, identifies unique IDs, creates Cypher import statements, and executes the import into Neo4j, demonstrating potential for streamlining graph database setup.
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