Neo4j

Updates from #Neo4j Graph Intelligence for Microsoft Fabric ⏲️ ✔️ Export to Lakehouse ; the ability to sync the results of your graph analysis back into OneLake tables, where the rest of your Fabric tooling can pick them up. ✔️Support for creating graphs on our Business Critical tier ✔️Existing customers who already have graphs in Aura can now connect those graphs to Fabric for the same great embedded experience. Stu Moore covers everything that shipped since GA with a deep detail on exporting graph results back to Lakehouse. https://bit.ly/4uFG9Ir Stuart Moore #MicrosoftFabric #Neo4j

Zero-Copy Advanced Graphs: Neo4j Data Reasoning Directly in Snowflake Discover how to run advanced graph queries and algorithms directly against your existing Snowflake data, without moving or duplicating a single byte. In this session, we will introduce the Neo4j Virtual Graph - a zero-copy solution that leverages native Neo4j AI to automatically map your warehouse data into an intelligent, advanced graph data model. Learn how this breakthrough integration enables you to seamlessly deliver the many benefits of a graph approach, without the complexity of traditional ETL pipelines, and while maintaining a single source of truth for your entire enterprise.

CALL FOR SPEAKERS 💫 #NODES2026 15 days left for sending your submission! Not sure where to start? Yolande Poirier was all in for putting together a video and a blog with practical tips to help you write a strong abstract and feel confident hitting submit. We know you want to be part of this event, and so do we! Here's some help to help you be more confident and fill in the form! More tips, info about our annual online event, and submission form: https://bit.ly/4e8AO6J #GraphRAG #ContextGraph #ContextEngineering

80% of AI pilots never reach production. AI systems need context — they need to understand how and why relationships in your data exist. Join Ajay Singh (VP of Field Engineering, Neo4j) and Jeff Greenfield (VP of AI & Data Innovation, Chewy) for a fireside chat at #SnowflakeSummit on how a knowledge layer combines graph technology and AI to deliver more accurate, explainable outcomes — fully integrated with your existing Snowflake infrastructure. Learn more 👉 https://lnkd.in/eSyqDdam #Neo4j #GraphAI #KnowledgeGraph #Snowflake

GraphTalk Pharma & Life Sciences 2026 📍 Munich | 💻 Hybrid | 📅 2 July 2026 Join industry leaders to explore how #GenAI and knowledge graphs are moving from experimentation to production-ready, reliable AI systems in pharma and life sciences. Discover how connected data across R&D, clinical research, and supply chains enables grounded, explainable, and scalable AI insights. Agenda highlights I Listed to real-world customer stories around graphs in the product lifecycle: Bayer, KWS Group, BASF, Insel Spital Bern, Sandoz, Boehringer Ingelheim • R&D – faster discovery & target identification • Clinical – data-driven, explainable decisions • Supply Chain – improved resilience & intelligence Hear real-world use cases from organizations applying graph technology to unlock AI at scale. Attend in person in Munich or join online -> https://lnkd.in/dBTiW6cs #GraphTalk #Pharma #LifeSciences #AI #KnowledgeGraph #GenAI Neo4j Dr. Alexander Jarasch Konrad Hippius

Super excited to announce the preview launch of Neo4j Virtual Graph. Graph reasoning on the data you already have. No ETL. No copies. Cypher pushed directly into Snowflake, Databricks, and, ultimately, any SQL-based system. This is a major step toward making graph-native reasoning available directly on lakehouses and making connected enterprise data accessible to AI agents where the data already lives.. It takes a village to launch something like this — engineering, design, field, leadership, documentation, legal, marketing, and product. Proud to have led the product effort alongside Sudhir Hasbe, and even more grateful to the incredible people who helped build it: Michael Simons Gerrit Meier Christoffer Bergman Bastien Louërat Lasse Heemann Love Kristofer Leifland Maximilien Rothier Bautzer David Johansson And many more contributors across Neo4j: Michael Hunger Dan McGrath Anurag Tandon Ivan Zoratti Charles Dolan Ajay Singh Kesavan Nair (Kay) Yoav Derazon Greg King Stuart Moore Niels de Jong Richard Sill Liza Shkirando Sebastian Wictorin Wanhang Zhao Shradha K. Jesús Barrasa Eric Monk Nuno Pedro Leitão Alexander Gilmore Jeremy Adams - Casañas Benjamin Squire Ben Lackey Ryan Knight Kapil Hetamsaria Sam Moore Corydon Baylor Bryan Nairn Terri Schlosser Nariné Tchintian Heather Hughes Christina Dittmann If you'd like to test it out, please reach out. You can also request preview access through the form linked in the blog post. https://lnkd.in/eeSTkaCP #Neo4j #GraphAI #KnowledgeGraphs #DataPlatforms #Snowflake #Databricks #VirtualGraph #BigData #Agent #AgenticAI #EnterpriseAI #AIAgents

Unleash the power of graph intelligence on the data you already have! Today, we are introducing Neo4j Virtual Graph: our zero-copy architecture lets you run #Cypher and graph algorithms directly against your data in Snowflake, Databricks, and other cloud data warehouses, without moving a thing. Get graph-powered insights like multi-hop reasoning, and automatically generate a graph model from your existing tables with a single click. See how the Virtual Graph works in the link in bio! 🚨 Virtual Graph is available now in private preview - you can request access by filling in a form (find it in the blog) Watch the entire demo here, https://bit.ly/4dG0AO8 #VirtualGraph #Neo4j

Closing the Context Gap: Agentic AI with Neo4j & Microsoft Foundry In this session, Neo4j and Microsoft reveal how Graph Intelligence closes the context gap that limits traditional enterprise AI. While first-generation RAG relies on isolated data snapshots, Agentic AI requires a relationship-rich memory to reason effectively. We’ll demonstrate how the Neo4j and Microsoft Foundry integration creates a "reasoning fabric" for enterprise agents—transforming fragmented data into a connected knowledge graph that reflects how your business actually works.

Executives, join us on June 11 at Manhatta in NYC for an exclusive Financial Services GraphTalk exploring how leading organizations are deploying AI in production while navigating regulatory pressure. Hear practical insights from leaders at Iuvity, Point72, PNC, Quantify Data Advisors, and Neo4j, followed by peer networking and a reception overlooking the Manhattan skyline. Request your seat through the registration link: https://lnkd.in/gCSK7xN2 Attendance is limited, reserved for executive-level leaders, and subject to approval.