Bio-IT World 2026

Join Neo4j (booth #610) at Bio-IT World 2026 to see how graph technology is transforming the life sciences landscape.

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Generative AI Fundamentals: Neo4j Virtual Hands-On Workshop

You’ll learn the fundamentals of GenAI, explore how Neo4j and knowledge graphs enhance AI-driven applications, and see how GraphRAG improves accuracy and explainability over standard RAG. Through practical exercises, you’ll build your own conversational agent using Neo4j, Python, and LangChain. … Read more →

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Introduction to Graph Databases: Neo4j Virtual Hands-On Workshop

Discover the foundations of Neo4j by exploring the core concepts of graph databases, such as nodes, relationships, properties, and labels. You will learn how graph databases offer a more intuitive and flexible approach to data than traditional relational databases. Whether… Read more →

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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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