This Week in Neo4j: Knowledge Graphs, NeoDash, Automation, Web Analysis and more

This week's edition of This Week in Neo4j features a tutorial on creating knowledge graphs with Large Language Models (LLMs), an overview of the new features added to NeoDash 2.4, and discussions on using graphs for automation, including a proof-of-concept project that automated over 800,000 unique paths in a complex system. The newsletter also highlights various upcoming events, including NODES 2023 recordings and a meetup in Gothenburg or London, as well as resources for getting started with graphs, such as GraphAcademy tutorials and Neo4j AuraDB free trials. Additionally, the newsletter shares a tweet from S2 about their enthusiasm for using LLMs to traverse graphs and understand causality between entities, and introduces FlowMate, a BurpSuite extension that uses taint analysis to monitor parameter appearances in web responses.

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