Best of Neo4j — November 2024

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   Article

   Towards Data Science·1y

   Building Knowledge Graphs with LLM Graph Transformer

   This post explores building knowledge graphs using the LLM Graph Transformer from LangChain. It covers techniques for extracting structured data from unstructured text to create knowledge graphs, highlighting the advantages and challenges of both tool-based and prompt-based modes. The guide includes steps for setting up a Neo4j environment, defining graph schemas, and ensuring consistency in extraction. Additionally, it addresses how to import graph documents into databases like Neo4j for further analysis and application.

   24

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2. 2
   Article

   neo4j·1y

   🐘 Relational Database-to-Graph Querying in Less Than 5 Minutes

   Learn how to import data from a PostgreSQL database to a Neo4j graph database using the updated import capabilities in Aura. The post guides you through setting up a PostgreSQL data source, generating a graph model, and running the import job. It also provides examples of queries to explore the imported data, using the Chinook music dataset as a case study for practical application.

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