Intelligence AI with RAG and AWS Master Class
We are very excited to invite you to this new master class about RAG and AWS
In this hands-on, 2-hour workshop, you'll learn how to build grounded AI applications that combine the power of large language models (LLMs) with the structure and context of knowledge graphs.
We’ll show you how to use Neo4j as a retrieval engine to improve relevance, reduce hallucinations, and support reasoning in your AI workflows. Using Python and the neo4j-graph-rag library and AWS services, you'll build Retrieval-Augmented Generation (RAG) pipelines that dynamically fetch the right information at the right time.
You’ll implement vector search, hybrid retrieval, and graph-native techniques to structure your data for better LLM performance. Finally, we’ll introduce an agentic layer where AI agents reason over connected data—not just retrieve it.
By the end, you’ll walk away with practical skills to integrate LLMs and Neo4j into AI systems that are intelligent, explainable, and production-ready.
Come prepared, and technical experts will help you build the project.
Pre-Workshop Checklist
⦿ Familiarity with Python and basic LLM concepts
⦿ Python 3.10+ environment
⦿ Access to a Neo4j sandbox or local instance
Space is limited. Make sure to register early.
Agenda
4:00 pm: Open Doors
4:30 pm- 5:30 pm: 1st half of the Workshop
5:30 pm: break with Pizza and Soft Drinks
6:00 pm - 7:00 pm: 2nd half of the Workshop
7:00 pm: Networking
7:30 pm: Closing
Location:
AWS GenAI loft, 525 Market Street, 2nd Floor Courtyard Entrance, San Francisco
Attendees should enter via the courtyard entrance (up the stairs by the circular water fountain).
All guests must present a valid and physical government-issued ID - this is mandatory with no exceptions.