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

Senior Developer Marketing Manager

April 10, 2026

4 min read

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!

Livestream: Discover AuraDB: S02E10 on April 13
Conferences: Find us at Generative AI Summit, London on April 13-14, Digital Experience Nordic, Stockholm on April 14, GIDS, Bengaluru on April 21-24, Databricks AI Day, Melbourne & Databricks AI Day, Barcelona on April 21, Google Cloud Next, Las Vegas on April 22-24, Microsoft AI Tour, Sydney on April 23 & AI and Data in Pharma & Healthcare Summit, Munich on April 23-24
Meetup: Meet us in London, UK on April 14, Berlin, DE on April 16
All Neo4j Events: Webinars and More
GraphSummit Series: Transform Your Enterprise with Graph and GenAI – Next Stop: Paris on April 14

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.

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

GraphAcademy: Build an agent that remembers what it did and why with “Context Graphs: Agent Memory with Neo4j“
Learn on Your Schedule: Go deeper into graph technology on Neo4j’s On-Demand webinar library
Workshops: Join our virtual classrooms workshops from Fundamentals to GenAI
New Webinar: Three Memory Types Every Production AI Agent Needs – Americas, Europe, Middle East & Africa, Asia Pacific