Join Neo4j and AWS experts for a Neo4j Graph Workshop hands-on lab designed for data scientists and engineers who want to build production-ready generative AI applications grounded in connected enterprise data.
In this half-day, in-person Graph Workshop, you’ll learn how to combine Neo4j knowledge graphs with Amazon Bedrock foundation models to build explainable, context-aware AI applications using GraphRAG and agentic AI patterns.
What you’ll learn in this Neo4j Graph Workshop hands-workshop
During this interactive Graph Workshop session, you will:
• Deploy and explore Neo4j on AWS using best practices
• Use Amazon Bedrock foundation models to build graph-grounded GenAI workflows
• Implement GraphRAG patterns that combine vector search with connected knowledge graphs
• Build and invoke AI agents that reason over structured and unstructured data
• Integrate Neo4j vector search and embeddings for semantic and hybrid retrieval
• Programmatically interact with Neo4j agents using APIs for real-world applications
Why attend Neo4j Graph Workshops
• Learn by doing through guided, hands-on labs
• Leave with working examples you can extend after the event
• Get practical exposure to Neo4j + Amazon Bedrock reference architectures
• Network with Neo4j, AWS, and fellow practitioners
Network after the workshop
Stay to play Topgolf. Food and beverages will be served.
This event is free, but space is limited — register today.
Requirements
• Bring a laptop with a modern web browser
• Ability to access the AWS Console
• Ability to access the Neo4j Aura Console
If your work laptop has firewall restrictions you can’t control, we recommend bringing a personal laptop.
Neo4j Graph Workshop: GenAI Hands-On Lab with AWS Amazon Bedrock
• Introduction to Neo4j (lecture + hands-on)
• Deploy and explore Neo4j on AWS
• Introduction to Amazon Bedrock and generative AI concepts
• GraphRAG: combining vectors, graphs, and foundation models
• Building AI agents and semantic search workflows
• Programmatic agent invocation and real-world application patterns
