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:
https://t.co/9OgBNX96lO
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 https://t.co/oJ2Cdg4kOo
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.
https://t.co/hi0EOZXs9r
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: https://t.co/KZN7A229oT
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 https://t.co/SmMEEkHLe3
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 https://t.co/vLop87oOQZ to help you build your agenda- credits to @luannem!
Agenda and reg for this online event on the 15!: https://t.co/1JavGW6Rf3
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: https://t.co/phBtXW2V8Z
Most intelligence systems are case-based, so context is lost. At GraphTalk 🇸🇪, discover how teams use connected intelligence to keep data and relationships evolving.
Practical insights from real-world operations.
🔗Register: https://t.co/uqAVu8kBqD
Save the date 📅 26th March | 17:00 GMT | @AlessandroNegro will be leading a workshop on Graph-Based Long Term Memory.
If you want your AI agents to learn from past actions and improve over time, this is for you 🔗 https://t.co/phBtXW2V8Z
Insights at scale with Infinigraph 🚀
We are thrilled to announce that #Infinigraph is now generally available and helping companies with billions of data points, allowing:
👉 Building Massive Knowledge Graphs.
👉 Supporting Agentic AI: Provide AI agents with "long-term memory" that grows with your business.
👉 Giving real-time context: Deliver structured context to #LLMs in milliseconds.
Need to scale? Read how Infinigraph can help.
https://t.co/C4YWQXGNMV
#Neo4j
I see a lot of complaints about untested AI slop in pull requests. Submitting those is a dereliction of duty as a software engineer: Your job is to deliver code you have proven to work https://t.co/Eso7BWaTtF
Tried using an AI assistant as a real coding teammate on a simple Spring Boot onboarding tool.
It worked(ish)… until the test suite lied, the code reshaped itself, and success reports were unreliable.
AI removes toil, not accountability.
My latest post: https://t.co/TlxjcrhVcM