Whatever your agentic stack looks like, Neo4j fits right in. We are happy to bring you a comprehensive library of documented, working integrations and architecture guidance across the frameworks and platforms you’re already using—including AWS, Google, Microsoft, Vercel, Salesforce, and more To answer the question, we kept hearing from the community, “How do I connect Neo4j to this?” We are now answering for each framework, platform, or tool. Check out the details of the integrations, find the documentation, and …get started! 🚀 bit.ly/4edCwTS

I see many people and orgs linking themselves today to the Pope's use of the word 'ontological'. That's cool, but look who we have. piped.video/watch?v=P6ektCH6…

Getting an #AI application into production? It's only one part of the journey. We know challenges shift right away. One graph behind one application becomes dozens of workloads across teams, tenants, and environments. Check out Paul Blewett's capabilities that address AI scalability. ✳️ Virtual Graph lets you create and query a knowledge graph directly over data in Snowflake, Databricks, and Google BigQuery: zero-copy, with the data staying where it is under its existing governance ✳️ Multiple Databases lets you run up to 250 databases inside a single AuraDB instance ✳️ High Memory instances now scale to 2TB RAM and 5TB storage on Google Cloud ✳️ Cross-Cluster Database Replication gives you a continuously updated standby in a second region. Failover is a promotion, not a restore from backup. ⚠️ Neo4j Graph Analytics (Early Access Program) Scale your AI with #Neo4j bit.ly/4yg1sSR

The Western Australia Police Force uses a graph-powered approach to help analysts and investigators connect and contextualize data, improving citizen safety. Neo4j's @graph_aware acquisition marks a new chapter for intelligence analysis: Join our upcoming webinar to learn how! Join us! Americas: bit.ly/4qSt0uG Europe: bit.ly/4x56Xm1 Asia Pacific: bit.ly/4zM8Ned #IntelligenceAnalysis #GraphIntelligence #Neo4j

Announcing #NODES2026's agenda, and we could not feel happier about the lineup! +100 experts presenting live and interacting with the audience in Q&A This year’s agenda rocks! Developers, #AI engineers, data practitioners, and builders from across the graph community are sharing what they are actually building in production: multi-agent workflows, GraphRAG pipelines, context graphs, knowledge graph construction, and the tools and frameworks making it all possible. Free. 24 hours. Unique live talks. Every time zone. Explore the full agenda and register today, it's free! bit.ly/4pXd3Tq #AIengineering #ContextEngineering #GraphRAG #Conference

The investigation gap isn't about how much intel police forces hold; it's about how quickly a new detail can change the picture. Our latest with @PolicingInsight looks at closing it, with @graph_aware & @neo4j 's @luannem. Read the story👉 eu1.hubs.ly/H0xs2Q90 #LawEnforcement

Police forces already hold vast amounts of intelligence. The challenge is turning fragmented information into operational understanding before opportunities are missed. In this joint article, GraphAware and Neo4j explore how connected intelligence helps analysts surface critical relationships faster while keeping every insight explainable and evidence-based. [ADVERTISEMENT FEATURE] policinginsight.com/feature/… 💡 Read more articles from the 'Transform intelligence with GraphAware' series: policinginsight.com/series/t… @graph_aware @neo4j

Use #Neocarta to easily build semantic layer graphs for your agentic applications in #Neo4j Alexander Gilmore shows how to build a semantic layer on #GCP using NeoСarta, a Neo4j Labs library that turns your data systems into a traversable graph. How? Instead of hardcoding schema context into prompts, agents traverse from an entity to the right LookML view, confirm the glossary term, check lineage, and then issue the query. All in one traversal. Worth reading if you are building agents on Google Cloud and hitting the limits of flat schema files: bit.ly/4vepyvP

The OECD warns that where AI foundations are “weak or fragmented, AI cannot scale effectively and might amplify rather than mitigate risks.” For public sector workforce AI, I believe the missing foundation is the knowledge layer. My latest blog: neo4j.com/blog/government/pu…

This post by @BarrasaDV is one of the best posts on real-world AI in the enterprise I've read this year. As the AI Field CTO at Neo4j he's worked with hundreds of organizations to do agents at enterprise scale, and there's a clear pattern emerging. Let me summarize! 🧵👇

I think one of the biggest challenges facing public sector organisations is answering compound questions. Questions that span workforce, operations, security and procurement—not just one system. My latest @neo4j blog: neo4j.com/blog/government/pu… #PublicSector #Workforce

In GraphAware Hume, the map and graph aren’t separate tools. They’re one connected intelligence picture. Geospatial graph analysis brings location and relationships together, so analysts can understand where events occur and how they connect. Learn more: hubs.ly/Q04fBhFk0

Berlin!! See you at Agentcon @GlobAICommunity? All about Agentic Engineering with the great Michael Hunger - dont miss it!bit.ly/4d7tgR4

We've uploaded ALL #NODESAI presentations on our YouTube channel! All about AI, Context, Memory, and Graphs... enjoy! bit.ly/4mSju8T

I'll be speaking next week at AI Agents Conference live on #GraphRAG! Come join me to hear about creating a pipeline for constructing a knowledge and retrieving data from it to add context to an LLM. #Neo4j #KnowledgeGraphs #AI aiagentsconference.live/

We need your opinion!! And you need a Neo4j beanie :) Taking the Neo4j Developer Survey 2026 to answer some questions, and 100 unique respondents selected at random will receive a beanie. The survey will close on June 30. neo4j.typeform.com/to/fjTic2…

The workforce intelligence systems behind most public sector operations were built for a world where crises came one at a time. That world is gone. Article 1 in the Connected or Exposed series: linkedin.com/pulse/sequentia…

Amy Hodler and @prathle unpack why the current #AI wave is fundamentally a graph moment, not just a vector one. They explore how #GraphRAG, neuro-symbolic AI and graph-based memory address core limitations of LLMs – bringing explainability, reasoning and scalable context (via innovations like Infinigraph) to enterprise AI systems - interview on #GraphGeeks bit.ly/4tDGwSV

Ready for this week's NODES AI? The agenda is 🔥 If you are having a hard time deciding which talk to attend, check out this agent bit.ly/4ms1J00 to help you build your agenda- credits to @luannem! Agenda and reg for this online event on the 15!: bit.ly/4rIBpzN

Join @AlessandroNegro's Nodes AI workshop 'Graph-Based Long-Term Memory: How Agentic Workflows Adapt Through Experience' 📌TODAY-31st March, 6:00 — 8:00 PM CEST 🔗 Register to secure your spot: neo4j.registration.goldcast.…