Agentic GraphRAG: Orchestrating Neo4j Context via Databricks and MCP

Join us to learn how to build a Databricks Mosaic AI Agent that leverages GraphRAG and the Model Context Protocol to navigate complex, multi-hop data for more reliable and intelligent reasoning.

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Discover Rich, Graph-Powered Insights in Your BigQuery Data with Aura Graph Analytics

Join us to discover how AI and BigQuery integrate with Neo4j Aura Graph Analytics to reveal the hidden connections within your tabular data.

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Design Reliable AI Agents: Patterns That Work (and What Breaks)

Join us on May 7 to learn how to design AI agents that perform reliably in production. Discover practical patterns for building agent workflows and avoid common failure modes.

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How Context Graphs Power the Next Generation of Autonomous Agents

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

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

Join us on LinkedIn for a deep dive into Neo4j and Microsoft ecosystem integration to build resilient, fact-based GraphRAG architectures on Azure.

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Deploying Graph Agents in Cortex with Neo4j Graph Analytics for Snowflake

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.

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Build GraphRAG Systems for Production-Ready AI

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

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 →

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