This Week in Neo4j: Community Edition, Aura Agents, Context Graph, Spring Data and more

Tim Spann

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

This edition is packed with hands-on power-ups: get to complete, domain-specific context graph applications in just four commands with the Neo4j Labs tool create-context-graph.
Additionally, Community Edition lands native vector search and cloud deployment for GraphRAG-ready production apps, we have a new Aura Agents Course on GraphAcademy and Spring Data Neo4j gets a fast-track intro for Java developers.

Only one more week to go: NODES AI, our global graph-and-AI event, is taking place April 15, and the full agenda with themes like Context Graph, GraphRAG, Agents and AI in Production – register now!

Happy Graphing,

Alexander Erdl

 

COMING UP!

FEATURED COMMUNITY MEMBER: Timothy Spann

Tim Spann is a Senior Solution Engineer in Financial Services specialising in cloud data, AI/ML, big data, and modern data technologies, including Snowflake, Apache Kafka, and Python. He is the Big Data Zone leader at DZone, runs a popular meetup in Princeton, and is a frequent conference speaker.

Connect with him on LinkedIn.

Together with Stu Moore, their session at NODES AI is “Ghost-busting with Neo4j Graph Analytics in Snowflake”, where they will fire up their Proton Packs and Graph Agents in Snowflake Intelligence to categorise the spooky apparitions and find the neighbourhoods plagued by ghosts.


Tim Spann

 

COMMUNITY EDITION: Neo4j Community Edition Advances for Graph-Powered AI and Intelligent Applications


Neo4j Community Edition just got a major AI upgrade. Dan McGrath gives us the details on what has been added: The free tier now includes native vector search for GraphRAG, visual graph exploration via Neo4j Bloom, one-click deployment on AWS, Azure and Google Cloud, and centralised fleet management. If you’ve been building proofs of concept with Community Edition, this is the release that takes you from prototype to production-ready.

 

GRAPHACADEMY: Building Agents in Neo4j Aura


Do you want to build and deploy agentic AI systems without writing a ton of boilerplate? GraphAcademy’s new two-hour course walks you through designing no/low-code agents in Neo4j Aura, wiring them up with Cypher, Text2Cypher and similarity search tools, and publishing them via REST APIs and MCP. A practical hands-on path from concept to running agent.

Also, we have crossed the milestone of 200,000 learners on GraphAcademy! To celebrate, the iconic Neo4j Certified T-shirt is back: pass a certification exam, complete two additional courses, and one could be heading your way. A great nudge to finally tick off that course you’ve been meaning to finish.

 

CONTEXT GRAPH: AI agents with graph memory, scaffolded in seconds.


create-context-graph is a new Neo4j Labs CLI tool by Will Lyon that scaffolds a full-stack agentic app with graph-backed memory in four commands: pick your domain (22 to choose from) and your agent framework (PydanticAI, LangGraph, OpenAI Agents SDK, Claude and more), and you get streaming chat, graph visualisation, and decision tracing out of the box. What makes it interesting architecturally is the three-layer memory model: short-term conversation history, a long-term entity knowledge graph and auditable reasoning traces – all stored as a connected graph in Neo4j.

 

Java: A quick introduction to Spring Data Neo4j


In this Coffee + Software episode, Josh Long invited Jennifer Reif who shows how to get a Spring Boot app talking to Neo4j Aura in almost no time – spinning up a free AuraDB instance, loading the movies dataset, and wiring up a REST API with Spring Data Neo4j. The highlight: swapping out the out-of-the-box findAll() for a custom Cypher query with the @Query annotation, which is where the real power of graph querying starts to shine.

 

CONTINUOUS LEARNING

 

POST OF THE WEEK: Sayan Dutta

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