Coding agents give you the answer, but they rarely teach you how to think through it, and Martin O'Hanlon wanted to change that. How? He loaded #GraphAcademy's lesson content into Neo4j Aura, built an agent with a prompt designed to teach rather than just solve, and exposed it as an #MCP server so VS Code and Cursor can call it directly. Ask it to explain a concept, and you get a lesson, not a code dump. That is the difference a teaching-aware context layer makes. Can I use Aura Agents to create an MCP-enabled teacher? Find out: https://bit.ly/4dfdSlK #Neo4j #MCP #AuraAgents
About us
Neo4j Graph Intelligence Platform transforms data into knowledge, powering dynamic, personalized, and autonomous AI systems and intelligent applications so organizations can act faster with confidence.
- Website
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https://neo4j.com/
External link for Neo4j
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- San Mateo, California
- Type
- Privately Held
- Founded
- 2007
- Specialties
- Graph Database, NoSQL Database, Native Graph Technology, Graph Platform, Graph Analytics, Cypher, Database, Knowledge Graph, graph visualization, Graph Algorithms, Fraud Detection, Graph Technology, GenAI, graph data science, Graph Intelligence, Context Graphs, and Context Engineering
Products
Neo4j - Graph Intelligence Platform
Graph Database Software
The World’s Leading Graph Intelligence Platform Deliver faster results, contextual insights, and explainable solutions for your customers and employees. The Neo4j Graph Intelligence Platform helps you transform data into knowledge for smarter AI systems and more intelligent applications. It includes easy-to-deploy graph technologies, including graph database, analytics, and AI capabilities that work across any environment and data source to provide the context your current data stores miss, uncovering hidden insights, and delivering more accurate, explainable, and governed AI. With an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community.
Employees at Neo4j
View 1k employees at Neo4j
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Locations
Updates
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Neo4j reposted this
Dependable, useful security insights in seconds, not weeks. Our CPO, Kevin Tonkin spoke with Bryan Nairn, VP of Product Marketing at Neo4j in a fireside chat yesterday. In this clip, Kevin talks about the overwhelming problem of many, disparate, security tools, and how JupiterOne organizes them as a connected graph to provide always-on clarity and certainty to security teams.
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The "Why" is an absolute requirement for #AI enterprise production. What are your thoughts about Emil Eifrem's insights at #HumanX? Interesting chat with Jay Chen , Interim CEO of Contextual AI, and Nat Rubio-Licht at the last HumanX edition. Full chat: https://bit.ly/3RDudZ7
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William Lyon invites you to join him on June 4 to tackle one of the most common frustrations in production #AI: agents that work great in demos but lose all context the moment a session ends 😒 Will will walk you through #ContextGraphs and persistent memory and will show you practical patterns for working with Salesforce Agentforce, Databricks, and major cloud providers. 👀 We even have a webinar for each region, so you don't miss it :). See you! Europe: https://bit.ly/3RmSXEZ Americas: https://bit.ly/4dBPQ3h Asia Pacific: https://bit.ly/4dCslqO #Neo4j
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Do you know what BASF and the Australian Department of Infrastructure have in common? They can: 👌Trace dependencies from raw materials to final distribution in milliseconds. 👌Predict risks like geographic concentration or single points of failure before they cause delays. 👌Optimize routes by identifying cyclic loops and cross-border inefficiencies. Go ahead and answer about your bigger challenge with your #SupplyChain 🔻
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1 year anniversary!! Graph analytics for Snowflake ❄️💙
Neo4j Graph Analytics for Snowflake has been available for 1 year, and we have customers using it to solve a variety of business problems from Entity resolution in marketing data using Weakly Connected Components. Investigating fraud cases with Breadth First Search. Finding communities of fraudulent users with Louvain. Operational use cases, such as tracking and charging users through a transport network with Djikstra. But what if you dont know which algorithm to use, or want to explore your data to quickly? To celebrate the 1-year anniversary, we have GA'd the Neo4j Agent for Snowflake Intelligence. The Agent enables Data Analysts, Engineers, and Scientists to create the views required for graph projections and then select the correct algorithm from a business question in Snowflake Intelligence and Cortex Analyst. Check out the documentation: https://lnkd.in/ebEeRudd Find us in the Snowflake Marketplace with a 30-day trial: https://lnkd.in/eEnmDRs3 Watch the agent in action at NODES AI https://lnkd.in/ewB4w3dP cc: Olga Razvenskaya Jonatan Jäderberg Brian Shi Corydon Baylor Benjamin Squire Sudhir Hasbe Nariné Tchintian Anurag Tandon Tim Eastridge Tim Spann Ricardo Garita Evan Spessard Prash Medirattah
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Neo4j reposted this
Flashback to Neo4j's #GraphRAG breakout at reInvent! Sudhir Hasbe sat down with Nishal R to talk about how graph databases can improve AI accuracy and traceability, and how its customer Electronic Arts rethought its RAG approach... 👉 https://lnkd.in/eBq7CrhS
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Your data warehouse already holds the answers. You just need the right lens: Neo4j Virtual Graph lets you run graph queries directly on Snowflake or Databricks - no ETL, no migration, no disruption. Join our livestream and watch us uncover circular transactions in real data, instantly #Neo4j #GraphDatabase #Snowflake #Databricks #knowledgelayer
Virtual Graph: Graph Intelligence for Your Existing Data
www.linkedin.com
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Neo4j reposted this
Full Neo4j booth at our live demo by Kyle Nilson, PhD at Bio-IT World New insights in #targetidentification #drugrepurposing and #competitiveintelligence with high-quality manual curated data from QIAGEN Digital Insights powered on Neo4j Yizhi Yin Pete Aven Jay Flood Anil Maddiboina Andrew Anderson Kristina ParrishAnna Czupryna Diane Shelton
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We are happy to share the latest IDC study about the real-world business value of the Neo4j Graph Intelligence Platform. Financial benefits for companies? ▶️ Enterprises earned a 230% average return on investment over three years. ▶️ Organizations achieved payback on their investment in just 7.8 months. ▶️ The average annual benefit was $4 million. ▶️ The annual benefit per database/model was $116,000. AI and GenAI Impact? ▶️ Customers saw a 44% reduction in GenAI model hallucinations. ▶️ There was a 31% improvement in overall model performance. ▶️ 43% of surveyed organizations used a knowledge graph for GenAI applications. Take a deep dive into the research here: https://bit.ly/4dmTWOb #AI #GraphIntelligence