This Week in Neo4j: Cloud Deployments, Llamaindex, Knowledge Graphs, Aura CLI and more

GETTING STARTED WITH GRAPHS

• • GRAPHACADEMY: Cypher Fundamentals
  • READ: The Basics of Data Modeling
  • WATCH: Jump into Graph: Creating Mock Data to get started with Graph Databases
  • TRY: Neo4j AuraDB Free

  FEATURED NODES SPEAKER: Federica Ventruto

  
  

  Federica holds a master’s in Mathematics from the University of Salento, where she wrote a data-streaming thesis. She is passionate about machine learning and deep learning, particularly natural language processing, and enjoys data modeling and querying.
  Connect with her on LinkedIn.

  In her session at NODES “Relation Extraction: Dependency Graphs vs. Large Language Models” Federica leverages dependency graphs, employing a rule-based approach and exploiting the Neo4j navigation experience. She also applies GPT language models and discusses prompt engineering before finishing by comparing two approaches on a knowledge graph.

  
  
   

  CLOUD DEPLOYMENT: Deploy Neo4j on AKS with TLS and reverse proxy

  
  In this tutorial, Amit Gujar looks at the steps involved in deploying Neo4j on Azure using AKS. It gives you all the necessary steps (including a Github Repo) to deploy and utilise Neo4j on your AKS cluster efficiently with a TLS certificate.

   

  PODCAST: LlamaIndex and More: Building LLM Tech with Jerry Liu

  Our monthly podcast is back in 2024, and the team is joined by an extraordinary guest to talk about data and LLMs: Jerry Liu, co-founder/CEO of LlamaIndex. If you’d rather watch than listen to this episode, you can head over to our YouTube Channel for the video.

     
  

  KNOWLEDGE GRAPH: YouTube Transcripts → Knowledge Graphs for RAG Applications

  Alex Gilmore scrapes YouTube video transcripts into a knowledge graph for Retrieval Augmented Generation (RAG) applications. In the blog, he uses Google Cloud Platform to store transcripts, LangChain to create documents from the transcripts and a Neo4j graph database to store the resulting documents.

  AURA CLI: Convenient Neo4j Integration Tests in GitHub Actions Using the Aura CLI

  
  The Aura CLI is a command line interface for interacting with Neo4j Aura. Using the CLI, you can manage, create, and delete instances, pause and resume, and even create snapshots of an existing instance. In this article (including an entire workflow file on Github), Adam Cowley shows us how to integrate Neo4j Aura into Github Actions for automated testing.

  
  

  TWEET OF THE WEEK: It’s Adon

  
  

  It’s Saturday night and I’m rocking the neo4j graph data science procedures … ? pic.twitter.com/ecqpxAIowS

  — It’s Adon. (@AtRiskMedia) January 14, 2024

  
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