Neo4j

India is entering a defining phase of its AI journey where trust and context matter as much as innovation. Neo4j is deeply investing in India to help enterprises build explainable, scalable, and responsible GenAI with Graph Intelligence. Connected data enables AI to reason, not just predict. In this blog, we go deep on how graphs are powering India’s AI future. We are excited to take this conversation forward at the India AI Impact Expo 2026! https://bit.ly/4ruvfDt #APAC #India #Neo4j #GraphDatabase

AI is driving such an interest in and momentum behind graph databases with Neo4j as the clear leader! 💪 💪 💪

Our CEO and co-founder, Emil Eifrem, recently joined CNBC's Jon Fortt on the Fortt Knox podcast to share why connected knowledge is critical to moving AI from experimentation to production. Emil explains how #KnowledgeGraphs help organizations give #AI the context it needs to reason, stay grounded, and make accurate, timely decisions at scale. With 84 of the Fortune 100 as #Neo4j customers, he’s seen firsthand how enterprises are turning AI into real business impact, beyond demos and proofs of concept. Full episode https://bit.ly/4awYHD5

Releasing neo4j-agent-memory! 🎊 📢 This #Neo4j Labs project was born from the best practices we’ve developed by working directly with customers to build #AI agents in production. ✔️ And, to demonstrate how it works ;) We built Lenny’s Memory, a demo app that loads 300+ podcast episodes from the popular Lenny’s Podcast and lets you explore them through an AI agent with complete memory. Read about the project by William Lyon : https://bit.ly/4c6Obnm

Check out this article where Philip Rathle highlights a practical way to unlock value from data lakes - without "boiling the whole lake." Rather than migrating all enterprise data into a new system, organisations can start small and smart by building a #KnowledgeGraph layer that connects the data that matters most.😮 Read more on The AI Journal article: https://bit.ly/4ag3xU6 #Neo4j Adrianna Dyczkowsky Caroline De Souza Ross Perich

Modern #GenAI systems can’t rely on model outputs alone. To be useful in production, AI agents need to read from and act on real systems. Without a shared protocol, those integrations become hard to maintain. That’s where Model Context Protocol (#MCP) comes in. In this post, Michael Hunger goes beyond what MCP is and focuses on how to build with it. • How MCP architecture works • How to build MCP servers • How to use MCP with Neo4j and IDEs like Cursor for real-world agent workflows Check it out: https://bit.ly/44IdRTd #Neo4j

Build and deploy knowledge graph agents in minutes with Neo4j Aura Agent! We are proud to announce the General Availability of #Neo4j Aura Agent. You can now: ✔️ Generate knowledgeable, grounded agents in minutes ✔️Simplify your AI stack with secure hosted MCP & REST ✔️Get a Robust vector + graph retrieval customized to your data ✔️Enhance trust with transparent chain-of-thought and multi-hop graph reasoning. Want to try it? The agent will be FREE of charge only through the month of February 2026. Don't miss out on this opportunity! Find out more and happy building! https://bit.ly/49UqqNV #AuraAgent #Neo4j #Graphdatabase

Going Meta S03E05 – a Series on Semantics, Knowledge Graphs and AI Season 03 Episode 5 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI Topic: Jesús Barrasa & Adam Cowley Repository: https://lnkd.in/dwxTG8eb Knowledge Graph Book: https://bit.ly/3LaqE6b Previous Episodes: https://lnkd.in/ep33Hk76 #graphdatabase #neo4j #graphrag #knowledgegraphs #ontology #data