Neo4j

We might be biased… but #NodesAI's agenda is pretty great 😉 Save your spot for April 15! bit.ly/40js5H7 If you want to stay ahead of what's happening in the field of Knowledge Graphs & GraphRAG, #ContextGraphs, and #AIAgents, you MUST attend this free online event. 🔥 Charles Borderie, CEO at Lettria, Mohamed Fazil, AI Engineer, Office of CTO, at Unisys, Vaibhava lakshmi Ravideshik, AI Engineer at Vy Labs, William Lyon Senior Product Manager at Neo4j, Shafik Quoraishee, New York Times Game Engineer, Ashita Prasad, Dev Advocate at AWS 👆 These are some of the +30 speakers. Psst 👋 if you want to be EXTRA ready for #NodesAI, take a look at our #RoadToNodesAI agenda (MCP, Agentic AI, GraphRAG hands-on workshops) bit.ly/4s02WwP

Attention LONDON! We will be at the @aiDotEngineer next week! Will you be there? 2 amazing talks are happening (about #ContextGraphs), and we will also be waiting for you at booth G10 for some great convos. Join us! @steveonjava @swyx

@emileifrem 🙌

This will be so great!

In this guide, you'll see which tools are useful to build the context you need to avoid hallucinations on your #llms - including orchestration (@LangChain and @llama_index) the memory layer, and tool integration (MCP) Context is key. Start building it with this useful guide. 🚀 bit.ly/3PQPXzW

Invite your friends to #NodesAI and win! If you know developers, data scientists, or AI practitioners who'd love to be part of #NodesAI 2026, here's your chance to help them discover it with a chance of wining $200 in prizes while you're on it! 1) Register 2) Use this link to generate your custom reg link: bit.ly/4lr4o9C 3) Share it on your socials. Learn, win, while helping your network level up 🚀

What's the missing layer between data and decisions? How systems capture the “why” behind actions? How do they learn from experience and evolve with every interaction? Jaya Gupta, Partner at @FoundationCap; Animesh Koratana, CEO of PlayerZero; and Lasse Andresen, CEO of @Indykite, will join Neo4j's @emileifrem and @prathle on a panel discussion about #ContextGraphs. Join us for this insightful discussion at #NodesAI on April 15. Register! bit.ly/4sqjuOZ @forgerock1 @JayaGup10 @akoratana

@databricks → handles data processing, scale, and governance #Neo4j → adds graph intelligence (relationships + context) In the Databricks ecosystem, Neo4j acts as the graph ontology and reasoning layer. Move from raw data to connected knowledge and get trustworthy #AI Real cases: bit.ly/4tiiXPt

Neo4j Live: NODES AI Agenda with Aura Agents x.com/i/broadcasts/1…

Announcing a new #GraphAcademy course that will help you build an #AI system that reasons over connected data. 🧠 Understand what Aura Agent is, when to use it, and how it fits your AI architecture 🎯 Design an agent with a clear role, scope, and tool descriptions ⚙️ Extend it with Cypher Template, Text2Cypher, and Similarity Search tools 🚀 Publish and invoke your agent using REST APIs and MCP --Free on GraphAcademy. What do you want to build with graph-powered agents? bit.ly/4de6gAz #Neo4j #AuraAgent #AIAgents

bit.ly/4sCPFuX Enterprise Graph Use Cases That Solve Modern Data Challenges - FREE EBOOK!

Most enterprise recommendation systems lack what actually drives conversion: real-time user journeys, complex product relationships, and behavioral context across channels. What's the biggest gap in your current recommendation stack?

Just shipped some updates to create-context-graph.dev if you tried it earlier be sure to upgrade to the latest version: create-context-graph.dev

@GrootK26 @swyx @emileifrem @neo4j more about how this works in this blog post where we took the transcripts of Lenny's Podcast and created a context graph demo app of @lennysan's memory :-) neo4j.com/blog/developer…

create-context-graph is built on top of the @neo4j agent memory tooling which uses a domain data model driven entity extraction pipeline to construct the graph from unstructured data (like messages or documents). This entity extraction and resolution pipeline is where the mapping from unstructured data to domain data happens and this is the key process that will define success or failure of your knowledge graph when working with unstructured data.

just learned about create-context-graph - one command and it sets up key entity relationships for 22 top industry domains. been looking for something like this to "layer on" a social graph to every single app I make!

Do you know what Agentic AI Architecture is and why it matters? The Agentic AI architecture enables agents to plan, act, use tools, collaborate, and operate safely in production. As systems scale, architecture becomes critical. #AgenticAI depends on context, memory, and reasoning. Knowledge graphs provide connected, structured context, enabling traceable reasoning paths and reliable long-term memory through #GraphRAG. This leads to better retrieval, more accurate decisions, and explainable AI in production. Take a look at what architecture you should use according to your case: bit.ly/4tchuu4

Going live today, 20:00 CEST 🚀 @JMHReif (@neo4j) and I are adding graph traversal on top of vector search and seeing what breaks (and what gets better). Expect a bit of chaos. Join us 👇 youtube.com/live/KUcZL2yHj… #GraphRAG #LangChain4J

We are super excited to release new capabilities of the #Neo4j Community edition! bit.ly/4uXyhmo 💪 Stronger querying language: #Cypher 25 for queries that are easier for your team to read, debug, and maintain. 📶 Connect your Community Edition database to the Neo4j Aura console to access graph tools for free. The Benefits? Graph Visualization and Exploration 🖥️ Fleet Management: a single interface to monitor and manage all your graph databases. ☁️ Deploy to the cloud in one click: #AWS, #Azure, or #GoogleCloud  ⬆️ Seamless path to scaling: When your project is ready to scale, you can easily migrate your data model and queries to the fully managed #AuraDB service Get started today: bit.ly/4dbVSt6

Road to NODES AI: End-to-End Neo4j Developer Workspace with MCP x.com/i/broadcasts/1…

Most #AIAgents forget things. Without the right memory, you get context loss, higher costs, and no explainability. Production AI needs 3 types of memory: • Short-term • Long-term • Reasoning With neo4j-agent-memory, build context graphs that capture not only data but also the reasons decisions are made. 📅 @lyonwj April 7 · Live demo Asia Pacific: bit.ly/4bum1SE Americas: bit.ly/4lSzEP8 Europe: bit.ly/4dacFge #AI #AIAgents #Neo4j #GraphDB

We had an incredible evening at the @GlobAICommunity x @neo4j side event during the MVP Summit in Redmond! It was so good to bring the community together outside of the main conference - great conversations, new connections, and plenty of energy from people who genuinely care about where AI is heading. A huge thank you to @donasarkar for hosting us at Side Hustle - it was the perfect venue for a night like this. And thank you to everyone who came out and made it such a special evening. Events like this remind us why community is at the heart of everything we do at Global AI. See you at the next one! 👋 #GlobalAICommunity #Neo4j #MVPSummit #Community