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.
Explore:
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.
Explore:
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.
Explore:
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.
Explore:
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 →
Explore:
AI-Assisted Customer Segmentation with Neo4j Graph Analytics for Snowflake
< 1 min read
Join us to learn how marketing teams can use AI powered tools like Cortex and graph analytics in Snowflake to uncover customer segmentation insights that traditional approaches miss—without ETL or new infrastructure.