Neo4j

Say hello to Relate: an open source, embedded graph database that helps your agents build and understand relationships in any data. ⏱️ Query in seconds: Relate has no server installation step and no account setup. 🧠 Memory with structure: Relate lets your agent store what it learns as connected context. Combine vector similarity search and graph traversals in a single Cypher statement. We are super excited about this launch! Built on 20 years of #Neo4j expertise, Relate gives AI agents lightning-fast structured memory with full Cypher and GQL compatibility, unified vector search, and native agent integration, and scales effortlessly to Neo4j Aura whenever your project grows. Take a look at the demo and how to get started here: bit.ly/3WvAWqI #relate #relatedb #AgenticAI @steveonjava @shasbe

You gave your agents access to the knowledge graph...what if someone asks one to pull the HR's sensitive data? 🔐 Security is sometimes skipped when building knowledge-based AI. And when they do think about it, role-based access control tends to lead to role explosion and over-permissioning, which is a bad fit for agents whose behavior is dynamic and hard to predict. We wanted to share this livestream from a few weeks ago that we are sure you'll find interesting: Alex Babeanu covers why connected data raises the security stakes, why RBAC breaks down, and how your own graph can become a policy engine your agents can trust. Full session:bit.ly/4BUvuOe #Neo4j #AgenticAI #AISecurity #KnowledgeGraph

Webinar: Jesus and Andreas will walk us through Context Engine’s six-layer graph ontology, our proposed standard for giving AI durable shared context. Learn: -Why ontologies are hard to build and keep current -What Context Engine is and why it helps -How the six-layer graph ontology is structured Americas: bit.ly/4C06pBB Europe: bit.ly/4zmzgxr Asia Pacific: bit.ly/48R6slH

Ending the day talking about context engine, ontologies (6 layers), AI engineering nowadays, and of course… about #relates’ Archie :) That’s a wrap for an amazing #NODES2026! 💫 Thank you, thank you, thank you! See you at #NODESAI2027! Soon… all recordings will be on our YouTube channel - stay tuned!

Last Q&A with @emileifrem! bit.ly/3WnwxpD #NODES2026 is coming to an end... What a day!

Coming up next on the #NODES2026 agenda: "Graph-Powered AI Agents for Context-Aware Retail Forecasting Systems" "Building a B2B Context Graph: Modeling Relationships and Outcomes for AI Agents," Don't miss the last sessions from NODES! bit.ly/3WnwxpD

Live from NODES 2026 - How Adobe is Building Agentic Loop to Detect an Issue, Experiment with Various Solutions nitter.cf/i/broadcasts/2EmrmrNoP…

Live from NODES 2026 - Neo4j Product Vision & Roadmap AMER nitter.cf/i/broadcasts/2NgmgNQzj…

Live from NODES 2026 - Fireside Chat with Andrew Ng and Emil Eifrém AMER nitter.cf/i/broadcasts/2nQBQJzMN…

In a few min- new live Q/A with @emileifrem and Andreas Kollegger! Join #NODES2026! bit.ly/3WnwxpD

Live from NODES 2026 - A Metamodel for Neo4j: How Deutsche Bahn Describes Meaning and Rules Within Neo4j nitter.cf/i/broadcasts/2gqvqvvkv…

Upcoming at #NODES2026: "Microsoft Fabric Workload: Return to Lakehouse," highlighting integration with Microsoft Fabric. "Meta Knowledge Graph: A Self-Learning Agentic System," discussing a practical architecture for agentic systems. bit.ly/3WnwxpD

Live from NODES 2026 - From Vector Search to GraphRAG: Architecting AI Systems That Actually Work in Production nitter.cf/i/broadcasts/2onbnArko…

Live from NODES 2026 - Neo4j Product Vision & Roadmap EMEA nitter.cf/i/broadcasts/2gqvqWaQE…

Live from NODES 2026 - Fireside Chat with Andrew Ng and Emil Eifrém EMEA nitter.cf/i/broadcasts/2JQXQlagp…

New European time-zone-friendly round for #NODES2026 starting soon ⏱️ bit.ly/3WnwxpD

Leave a comment about which presentation you saw and liked the most until now from #NODES2026 ⬇️

Cool goodie bag at #NODES2026! bit.ly/3WnwxpD

Live from NODES 2026 - Transforming Corrupted Nusantara Open Data into a Neo4j and MCP Graph Intelligence Layer nitter.cf/i/broadcasts/2LPXPLapV…

Live from NODES 2026 - The Missing Layer: Why AI Memory Should Start with Humans, Not Agents nitter.cf/i/broadcasts/2aWLWjZgd…