This Week in Neo4j: GenAI, MEAN stack, Knowledge Graph, Ransomware and more


Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases!
Recently, Neo4j hosted a GenAI gathering in San Francisco to discuss how much is real, what the experiences are, and where we must learn and investigate more about the hottest topic in tech these days. This edition also features graph exploration from the MEAN stack, a quicker way to transform unstructured into structured data and we’re analysing ransomware payments.

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I hope you enjoy this issue,
Alexander Erdl

 
COMING UP NEXT WEEK!

Sharmistha is an evangelist and seasoned professional in ML and cloud applications. She has led digital transformations of clients in verticals ranging from Retail to BFSI, IOT, and Telecom.
Connect with her on LinkedIn.

She is a highlighted speaker for NODES 2024, where she will speak in her session “Role of Knowledge Graphs in mental health diagnosis and cure” about how contextual knowledge from knowledge graphs in the form of a textual corpus, eventualities and contextual relations can help to link eventualities to decipher the relation between food, biochemicals and mental illness.

Sharmistha Chatterjee
 
GenAI: A Tale of LLMs and Graphs: The GenAI Graph Gathering
Andreas Kollegger summarises a recent gathering of GenAI experts: LLM creators, RAG orchestrators, knowledge graph designers, researchers, and deep thinkers. An Unconference type session discussed topics like RAG to GraphRAG, Graph Agent With AutoGen, Semantics and Representations of Connected LLM Data or Multi-Agent Systems
 
MEAN STACK: Graph Exploration By All MEANS With mongo2neo4j and SemSpect
Marko Luther and Thorsten Liebig explain in this blog post how to transfer your MongoDB data and object model to Neo4j and use SemSpect to gain insights into your business data.
 
KNOWLEDGE GRAPH: Triplex — SOTA LLM for Knowledge Graph Construction
Owen C., Nolan T. & Shreyas P. introduce Triplex, an innovative new model that allows you to convert large amounts of unstructured data into structured data. Triplex exceeds the performance of GPT-4o at knowledge graph construction for less than one-tenth the cost.
 
RANSOMWARE: Representing Ransomware payments using STIX and Neo4j — IIa
Structured Threat Information Expression (STIX) is a language and serialisation format that exchanges cyber threat intelligence (CTI). In this second part of a series, CrocSec takes the Neo4j graph data model (created in part 1) for a deeper analysis and looks at campaigns through a few different lenses.


POST OF THE WEEK: sadalsvvd.space

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