Intelligence AI with RAG and AWS Workshop

​We are very excited to invite you this new workshop 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.

​Space is limited. Make sure to register early.

​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.