How Context Graphs Power the Next Generation of Autonomous Agents
April 8, 2026 < 1 min read
Join us on April 30 to learn how context graphs enable more reliable and scalable autonomous agents. Discover how Electronic Arts achieved 10× faster time-to-insight with a modern data architecture approach.
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Graph-Augmented Intelligence: Feature Engineering with Neo4j and Databricks
April 2, 2026 < 1 min read
Join us to discover how to close the loop between Neo4j and Databricks by extracting relationship-driven insights—like risk scores and community clusters—and syncing them back to Databricks Feature Stores to significantly boost the accuracy of your machine learning models.
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Mastering Neo4j Within The Microsoft AI Ecosystem
April 1, 2026 < 1 min read
Join us on LinkedIn for a deep dive into Neo4j and Microsoft ecosystem integration to build resilient, fact-based GraphRAG architectures on Azure.
Explore: connectedintelligence
Deploying Graph Agents in Cortex with Neo4j Graph Analytics for Snowflake
< 1 min read
Join us to see how AI-powered Cortex agents and native Neo4j graph analytics on Snowflake can build a digital twin of the aviation industry to simulate disruptions and identify network choke points.
Explore: connectedintelligence
Build GraphRAG Systems for Production-Ready AI
March 31, 2026 < 1 min read
Join us on April 23 to learn how to design graph-powered RAG systems that turn retrieval prototypes into production-ready AI.
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Ask the Expert – Building Agentic AI Systems for Pharma and Life Sciences
March 26, 2026 < 1 min read
Agentic AI is emerging as a new way for pharma and life sciences teams to work with complex, connected data, enabling systems to reason, not just retrieve. Join us for a live, interactive session with Neo4j expert Dr. Alexander Jarasch… Read more →
Explore: agentic-ai • ai • biomedical • genai • Healthcare • pharmaceutical
Stop Financial Crime Before It Spreads With a Transaction Graph
March 18, 2026 < 1 min read
Join us for an introduction to graph-powered financial crime detection. Learn practical strategies for building a Transaction Graph to uncover coordinated fraud, trace hidden fund flows, and deliver more accurate, relationship-aware detection.
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Three Memory Types Every Production AI Agent Needs
March 17, 2026 < 1 min read
Join us on April 7 to learn how neo4j-agent-memory enables you to build context graphs that give your production AI agents persistent, graph-connected memory.
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Context Engineering for AI Agents
March 6, 2026 < 1 min read
Nyah Macklin, a Senior Developer Advocate for AI at Neo4j, will show you how to engineer context effectively for AI applications. You’ll explore multiple context management approaches—including prompt management, retrieval-augmented generation (RAG), and knowledge graphs—and learn how to use Neo4j… Read more →
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