Turn Your CSVs Into Graphs Using LLMs
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The post explores how large language models (LLMs) can assist in creating data models from CSV files for use in Neo4j, emphasizing iterative approaches to avoid data complexity distractions. It discusses using LangChain, prompt engineering for generating consistent outputs, and converting CSV data into Cypher statements for
Table of contents
Turn Your CSVs Into Graphs Using LLMsGraph Modeling FundamentalsAn Iterative ApproachThe DataChoosing an LLMCreating a Data ModelFew-Shot Example OutputThe ChainExecuting the ChainAdding Unique IdentifiersData Model ReviewGenerate Import StatementsCreate the Unique ConstraintsRun the ImportQA on the DatasetMost Popular ArtistsBeats Per MinuteTracks Performed By the Most ArtistsSummaryLearn MoreSort: