This Week in Neo4j: Agents, Customer Analysis, GraphRAG, Quarkus and more

Senior Developer Marketing Manager

March 29, 2025

3 min read

Welcome to This Week in Neo4j, your fix for news from the world of graph databases!

If you haven’t seen it, these past few days many people discussed the revelation by Klarna that they dropped lots of SaaS tools (including Salesforce) in favour of in-house AI-driven solutions, powered by Neo4j. See the post by Sebastian below as well as our summary in the blog.

Beyond this bombshell, we have a new Neo4j with Pyhton GraphAcademy Course; we model agentic memory, analyse banking customers, discuss GraphRAG over coffee and integrate Neo4j with Quarkus.

Happy Graphing,
Alexander Erdl

COMING UP!

Livestream: Going Meta: S02E08 on April 3 & Neo4j Live: GraphRAG for Smarter Medical AI on April 9
Conferences: Find us at Kubecon Europe, London on April 1-4, AWS Summit, Paris on April 9 & Google Cloud Next25, Las Vegas on April 9-11
Meetup: Meet us in Copenhagen, DK & London, UK on April 9 & Atlanta, US on April 16
All Neo4j Events: Webinars and More
GraphSummit Series: Transform Your Enterprise with Graph and GenAI – Next Stop: Munich on April 2

FEATURED COMMUNITY MEMBER: Kurtis Van Gent

Kurtis is an accomplished tech lead with a history of scoping and leading complex technical projects across multiple engineering organisations. He specialises in developer experience and modern application development in the Cloud.
Connect with him on LinkedIn.

The Gen AI Toolbox for Databases, recently launched in collaboration with LangChain, now includes a Neo4j integration. In a livestream “Neo4j Live: Building AI Agents with Google’s GenAI Toolbox”, Kurtis showed together with Michael Hunger the new knowledge graph capabilities to Toolbox users, expanding the functionality for database management and Gen AI applications. There is also an extensive blog post about it.

AGENTS: Modeling Agent Memory

In this article, Alex Gilmore shows how to use Neo4j to model different types of memory in agentic systems, such as short-term and long-term, enhancing their ability to manage and retrieve information effectively.

CUSTOMER ANALYSIS: Customer Behavior Analysis with Neo4j in Banking

Chris Shayan explores how Neo4j can model complex customer relationships and behaviours, enabling banks to gain deeper insights into product holding ratios and transactional patterns, thereby enhancing personalisation and customer engagement.

GRAPHRAG: Graphs and RAGs Everywhere… But What Are They?

Andreas Kollegger was invited by Chris Heilmann to join Coffee with Developers. In the video, he shares his 15-year journey, discussing the blend of remote work and travel. Key topics include graph structure, AI’s role in development and context’s importance in data retrieval.

QUARKUS: The Power of Relationships: Neo4j, Quarkus, and Intelligent Applications

Markus Eisele integrated Neo4j with the Quarkus framework to efficiently manage and analyse complex data relationships in modern applications.

CONTINUOUS LEARNING

GraphAcademy: We just published a new course Using Neo4j with Python: learn how to integrate Neo4j into your Python projects
Get to Know Graph: Level up your graph skills with webinars packed with practical insights to help you build powerful apps
Learn on Your Schedule: Go deeper into graph technology on Neo4j’s On-Demand webinar library
New Webinar: Customer Conversation – Implicit + Neo4j: How to Ensure LLM Accuracy – AMER, EMEA, Asia Pacific