Best of Neo4j — October 2024

1. 1
   Article

   neo4j·2y

   Turn Your CSVs Into Graphs Using LLMs

   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 Neo4j. The post also highlights important considerations like adding unique identifiers and creating data import scripts, offering a step-by-step methodology to streamline the process.

   31
2. 2
   Article

   neo4j·2y

   New GraphAcademy Course: Building Knowledge Graphs With LLMs

   Discover how to build and query knowledge graphs using large language models (LLMs) in the new GraphAcademy course. Learn to convert unstructured data into structured, insightful graphs using Neo4j LLM Graph Builder and Python. This hands-on course covers setting schemas, interpreting results, and developing retrievers, requiring a solid understanding of Neo4j, LLM integration, and Cypher.

   24