Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases!
As 2023 winds down, our GraphStuff.FM podcast is doing a recap of the year. Also, this week, we look at Cybersecurity for Kubernetes, a new Storage Engine for Neo4j and how to get more out of your knowledge resources.
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Alexander Erdl
COMING UP NEXT WEEK!
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- NODES 2023: Watch Recordings
- Live Stream: Neo4j Live: Enhanced QA Integrating Unstructured Knowledge Graph Using Neo4j and LangChain on December 19
- All Neo4j Events: Webinar, Live demos, and More
- GraphSummit Series: Get Connected With Graphs – New Dates for 2024 now live!
FEATURED NODES SPEAKER: Ming Yan Ti
Ming Yan Ti is currently a senior studying Computer Science at Purdue University. She is an undergraduate Teaching Assistant for classes like Data Structures and Algorithms and Computer Architecture.
Connect with her on LinkedIn.
In her session at NODES “Type-Safe Graphs With Neo4j & Prisma: A Library to Use Them Together” Ming Yan shows how to use a Typescript library to connect Neo4j to Prisma, a type-safe query builder, and discuss the architecture for parsing Prisma operations into Neo4j queries – all with real-code applications examples.
CYBERSECURITY: IceKube: Finding complex attack paths in Kubernetes clusters
Kubernetes deployments can become quite complicated regarding scale, the number of resources and understanding how different components interact. In this article, Mohit Gupta introduces IceKube, an open-source tool that enumerates a cluster and generates a graph database of resource configurations and the relationships between different resources. IceKube can then analyse these relationships and identify potential attacks.RECAP: 2023 Finale: LLMs and Knowledge Graphs throughout the year
Our Podcast reviews what we at Neo4j (and a lot of the tech industry, in general) have been spending much of our time thinking about and building: Large Language Models and Knowledge Graphs. Tomaž Bratanič and Oskar Hane are joining the team to dive deeper into these topics for this recap episode.STORAGE ENGINE: Try Neo4j’s Next-Gen Graph-Native Store Format
The latest version of Neo4j 5 Enterprise Edition (v.5.14) includes the beta release of our highly anticipated new storage engine that introduces Block format, a generational leap in graph-native storage. Compared to the existing Record format, the Block format performs roughly 40% better when the whole graph is in memory. That lead increases to 70% when only a third of the graph can fit in memory. David Pond shows you how to try it on your local instance today.KNOWLEDGE MANAGEMENT: Specs for ‘Knowledge as a Service’ (KaaS) project
Yogesh Haribhau Kulkarni outlines the product specifications for Knowledge as a Service (KaaS), a cloud-based platform that provides curated knowledge through knowledge graphs (KGs) and vectors. KaaS aims to address the growing demand for high-quality, readily available knowledge resources for various industries and applications.TWEET OF THE WEEK: Christophe Willemsen
#AdventOfNeo4j 🎄 Sharing 24 @neo4j 5 tips in December.
— Christophe Willemsen (@ikwattro) December 1, 2023
Day 1 : Label Expressions 🔥 pic.twitter.com/01tpY1oZ13
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