If you’re looking to build a smart #LLM, you need a knowledge graph. RAG + a knowledge graph: A powerful combination to organize your structured and unstructured data so that your LLM can give contextual answers. The key to start? Download the Manning book “Essential GraphRAG” by Tomaz Bratanic and Oskar Hane (we extended the free download period!) https://bit.ly/4fyGtCp #GraphRAG #Neo4j Manning Publications Co. Alexander Erdl
Neo4j
Software Development
San Mateo, California 114,740 followers
The World's Leading Graph Intelligence Platform
About us
Neo4j Graph Intelligence Platform transforms data into knowledge, powering dynamic, personalized, and autonomous AI systems and intelligent applications so organizations can act faster with confidence.
- Website
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https://neo4j.com/
External link for Neo4j
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- San Mateo, California
- Type
- Privately Held
- Founded
- 2007
- Specialties
- Graph Database, NoSQL Database, Native Graph Technology, Graph Platform, Graph Analytics, Cypher, Database, Knowledge Graph, graph visualization, Graph Algorithms, Fraud Detection, Data Lineage, Graph Technology, GenAI, and graph data science
Products
![Click here to view Neo4j Graph Database]()
Neo4j Graph Database
Graph Database Software
Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, with Neo4j’s full graph stack and a vibrant community of developers, data scientists and architects across hundreds of Fortune 500 companies.
Locations
Employees at Neo4j
Updates
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Hosted a new Pink Programming Sunday! Pink Programming works towards a more gender-equal tech industry. Participants studying tech, working in tech, or considering a career shift joined us for a hands-on session building a chatbot with #Cypher. Beyond the coding, it was about creating space, sharing stories, and showing that there’s no single path into engineering. A big thank you to everyone who spoke, mentored, and supported the day! We’re proud to keep supporting initiatives that help make tech more inclusive! #Neo4j #WomeninSTEM #WomenInTech #GraphTechnology Katja Bregenzer Gemma Lamont Linnéa Andersson Jennie Hellqvist Emelie Bondesson Jane Yang Michaela JohanssonMarie Gaillard
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In a recent IT Brief Australia article, Peter Philipp, Sales Director, ANZ, highlights how leading Australian businesses are tackling customer churn by modelling customer behaviour as a connected graph. "By visualising the relationships between complex data points, businesses are able to access a much richer and more accurate understanding of churn drivers, allowing them to predict who is most in danger of leaving and why, and providing early points of intervention to make things right with the customer before the relationship passes the point of no return." https://bit.ly/3OBlvt4 TechDay Australia Adrianna Dyczkowsky Caroline De Souza
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Neo4j reposted this
We recently launched Aura Agent to GA. Within days, the Neo4j Community ran a "Build a Tiny Aura Agent Challenge" — and the submissions proved exactly what developers could do with it. I had the privilege of judging, and the bar was high. Here are the winners: 🥇 First Place — PagerDruid by Jose Luis Latorre A "blameless" on-call agent that diagnoses incidents by reasoning over microservice dependency graphs, runbooks, and incident history. With a surprisingly lean graph schema and a small set of focused tools, it helps SREs identify incidents, trace multi-hop dependencies, and understand blast radius — in a way that standard RAG simply can't replicate. Elegant in its constraints. Powerful in its output. (check out the screenshots) 🥈 Second Place — Melbourne Property Arbitrage Detector by Paras Sitoula House hunting reframed as an arbitrage problem. This agent links school performance, suburbs, and property prices to surface hidden opportunities. Patterns that would be nearly invisible without a graph. 🥉 Third Place — ConceptCompass by @bhattacharya.ananya0 Startup validation transformed from gut feeling into structural analysis. It models the relationships between Ideas, Problems, User Types, and Existing Solutions — then navigates that space to answer questions most founders want to answer: "Does this idea solve a problem that already has dominant competitors?" or "Which specific user pain points remain unmet by current solutions?" A lean graph. A few focused tools. A very strategic agent. All three showed practical use cases that could go to production tomorrow. A huge Thank you to Ari Waller for organizing the challenge and keeping the Neo4j community so engaged with our new products! Curious what you could build? Get started here https://lnkd.in/eSzssBjQ #AuraAgent #Neo4j #AI #Agent #DevCommunity #KnowledgeGraph
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Missed our live session on Neo4j Aura Agent? 👀 A few days ago, we livestreamed a deep dive with Zachary Blumenfeld on how to build intelligent, production-ready #AI agents in minutes. AI agents often fail where it matters most: accuracy, explainability, and reliability at scale. The issue isn’t the model, but the missing context and complex deployment. With the GA of the Neo4j Aura Agent, you can build ontology-driven AI agents grounded in your enterprise knowledge graph, making them accurate, explainable, and ready for production from day one. In the session, we cover: • What Neo4j Aura Agent is and how to use it • Why ontology-driven AI is critical for trustworthy agents • How to deploy production-ready agents in minutes If you’re building AI agents and want them to actually work in the real world, this webinar is worth your time. Watch the full webinar: https://lnkd.in/dX-s58zp #Neo4j #AgenticAI Terri Schlosser Greg Posten
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Neo4j reposted this
Packed house for our context graph meetup in SF. We had amazing talks from Jessica Talisman, William Lyon, Yann BILIEN, Dave Bennett, and a closing panel lead by Nyah Macklin and featuring Emil Eifrem. if you are building an app with an Agentic architecture and not using context graphs as the knowledge layer, you are missing out on more accurate and relevant answers, easier development, and an explainable Agentic architecture. Look forward to our context graph explainer video we started recording tonight. 🤖🔵🗯️ All the recordings are available online. Check them out here: https://lnkd.in/gsy8JSSf
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Building AI-ready systems starts with the right data foundation. Join Jesús Barrasa for a webinar and learn how domain modeling and ontology integration strengthen graph schema design by embedding meaning, context, and shared understanding directly into your knowledge graph. You’ll discover: • How domain modeling and ontologies create scalable, semantically rich data foundations • Why a formal semantic layer improves consistency, clarity, and interoperability • How #AI can accelerate modeling, enhance semantic alignment, and support schema evolution Whether you’re designing a new graph or evolving an existing one, this webinar will help you build connected data models that are truly AI-ready. Asia Pacific: https://bit.ly/3MUGOFj Europe: https://bit.ly/4sfMxoh Americas: https://bit.ly/40C956I
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🏃 On March 5, the Road to #NodesAI begins with the workshop "#GenAI and Graph Foundations: Building GraphRAG" with Martin O'Hanlon - https://bit.ly/4rr2FTw 👇 Continuing with: 🎤 Hands-On Lab: Building Self-Grounding Agents with Microsoft Agent Context Provider - https://bit.ly/4rvM6pI 🎤Designing Agent-Driven #GraphRAG Systems with GNNs for Healthcare - https://bit.ly/45CUN9a 🎤End-to-End Neo4j Developer Workspace with #MCP -https://bit.ly/4ar2npZ 🎤Graph-Based Long-Term Memory: How Agentic Workflows Adapt Through Experience https://bit.ly/4ar2mlV Join these free two-hour online workshops!
Fall in love with the #RoadToNodesAI agenda ❤️🔥 March 5: #GenAI and Graph Foundations: Building GraphRAG with Neo4j with Martin O’Hanlon - https://bit.ly/4rr2FTw March 11: Hands-On Lab: Building Self-Grounding Agents with Microsoft Agent Context Provider with George Luiz Bittencourt , Microsoft & Ryan Knight, Neo4j https://bit.ly/4rvM6pI March 17: Designing Agent-Driven #GraphRAG Systems with GNNs for Healthcare with Giuseppe Futia, PhD, CSI Piemonte https://bit.ly/45CUN9a March 26: End-to-End Neo4j Developer Workspace with #MCP with Alexander Gilmore & Jean-Marc Guerin, https://bit.ly/4ar2npZ March 31: Graph-Based Long-Term Memory: How Agentic Workflows Adapt Through Experience with Alessandro Negro, GraphAware https://bit.ly/4ar2mlV Join to all these FREE workshops to build and apply graph-powered #AI.
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🎥 Here’s a sneak peek at one of the demos you’ll see at the booth at Gartner D&A in Orlando on March 9-11! (about how to build Knowledge Graph-powered agents in minutes!) Stop by Booth 406 to meet the #Neo4j team and see how to build accurate, explainable AI applications by grounding them in the right context with a knowledge graph. Don’t miss our sessions: 📅 March 9 Dependable Autonomous Agents Require Context Graphs 2:05 PM | Theater 1 📅 March 10 Is Your AI Brain-Dead? Knowledge Graphs Provide the Nervous System 3:00 PM | Osceola 2 See you there? More info and reg: https://bit.ly/4qUOW6Q #KnowledgeGraphs #LLMS #AgenticAI Ashley Padilla Jessica Pickman Heather Hughes Christina Dittmann Jim Webber
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We are super happy to welcome Bryan Nairn to our #Neo4j team! With experience in building and scaling product marketing at amazing companies, Bryan has spent his career turning complex technology into clear customer value and strong revenue outcomes. “I am a builder at heart,” he says, “We are at an inflection point. As AI reshapes how organizations build and operate, knowledge and context are becoming strategic assets. Graph intelligence sits at the center of that shift.” What motivated him to join the team? The mission of helping organizations to unlock the value of connected data and the people. Welcome, Bryan!
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