Welcome to This Week in Neo4j, your fix for news from the world of graph databases!
We are happy to announce the release of a new ebook, “The Developer’s Guide: How to Build a Knowledge Graph”. Besides, this episode has the latest updated Neo4j Fundamentals GraphAcademy Course, a look back at all the product updates to Neo4j and Aura in 2024 and Neo4j support for AI apps in Modus.
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Happy Graphing,
Alexander Erdl
COMING UP NEXT!
- Livestream: Going Meta: S02E06 on February 4 & Neo4j Live: Bundesflow on February 6
- Conferences: Find us at jFokus Stockholm on February 2-5 & DevWorld Amsterdam on February 27-28
- Meetup: Meet us in Sydney, AU on February 4 & London, UK on February 20
- All Neo4j Events: Webinars and More
- GraphSummit Series: Transform Your Enterprise with Graph and GenAI – Next Stop: Copenhagen on March 4
FEATURED COMMUNITY MEMBER: Emilie Ma
Emilie is a driven software developer and researcher whose interests lie at the intersection of software engineering,
Connect with her on LinkedIn.
In her session at NODES 2024 “The GitHub Graph: Open-Source Collaboration Patterns and Neo4j”, Emilie uses Neo4j to query and visualise GitHub collaboration patterns, uncovering workflows like “competing PRs” and “extended PRs” by analysing relationships and subgraphs of linked issues and pull requests.
GRAPHACADEMY: Neo4j Fundamentals
Our GraphAcademy Team is hard at work, and besides writing new courses, they are constantly updating existing courses. Just recently, Neo4j Fundamentals was updated and now includes new content and exercises. It is a great course to start your graph journey—you will explore a Neo4j database, learn the basics of the query language Cypher, and use Cypher to read and write data in Neo4j.KNOWLEDGE GRAPH: The Developer’s Guide: How to Build a Knowledge Graph
Jennifer Reif, John Stegeman and Damaso Sanoja wrote this guide on Knowledge Graphs. It shows you the top use cases for Knowledge Graphs and how to build one step-by-step – from the basics of graph data modeling to querying.NEO4J: Neo4j in 2024: Delivering on Our Vision of Cloud-First Graph Technology
Sudhir Hasbe looks back at 2024 when key developments included the introduction of a parallel runtime for faster analytical queries, a new block storage format to reduce I/O operations, advanced security features and improved scalability for AuraDB. Additionally, we launched tools to accelerate AI innovation through GraphRAG, combining knowledge graphs with retrieval-augmented generation to improve GenAI application accuracy.HYPERMODE: Announcing Neo4j Support for Modus
After completing a successful hackathon, the team at Hypermode also announced Neo4j support in its Modus framework. This integration allows for combining LLMs with knowledge graphs, enhancing semantic structure and domain-specific context in AI applications.POST OF THE WEEK: Eric Ries
In this episode of The Eric Ries Show, I’m joined by Emil Eifrem, Co-Founder and CEO of Neo4j, an open-source graph database. Neo4j enables organizations to unlock the business value of connections, influences, and relationships in data.
— Eric Ries (@ericries.bsky.social) 23. Januar 2025 um 19:42
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