# Build Smarter GenAI Apps with Neo4j & GraphRAG — Americas

**URL:** <https://community.neo4j.com/t/build-smarter-genai-apps-with-neo4j-graphrag-americas/76536>\
**Category:** Community Calendar\
**Created:** [February 9, 2026, 1:15pm UTC](https://community.neo4j.com/t/build-smarter-genai-apps-with-neo4j-graphrag-americas/76536 "2026-02-09T13:15:50Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Ari\_Neo4j](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/ari_neo4j/32/34352_2.png) [@Ari\_Neo4j](https://community.neo4j.com/u/Ari_Neo4j)\
**Post date:** [February 9, 2026, 1:15pm UTC](https://community.neo4j.com/t/build-smarter-genai-apps-with-neo4j-graphrag-americas/76536/1 "2026-02-09T13:15:50Z")

</div>

👉 **Register Here:** [Neo4j | Build Smarter GenAI Apps With Neo4j and GraphRAG](https://go.neo4j.com/WBR-EDU-260210-Smarter-GenAI-Apps-EMEA_Registration.html)

**Build Smarter GenAI Apps with Neo4j & GraphRAG — Americas**  
**Date:** Tuesday, February 10, 2026  
**Time:** 1:00 PM ET  
**Duration:** 1 hour

An Americas-friendly run of the GraphRAG session for developers building GenAI systems with Neo4j.

> **Event**
>
> **Starts:** February 10, 2026, 1:00pm (America/New\_York)\
> **Ends:** February 10, 2026, 2:00pm (America/New\_York)\
> **Location:** https://neo4j.com/events/

Organizations adopting GenAI often face unreliable outputs, hallucinations, and poor domain understanding due to fragmented structured and unstructured data. These limitations hinder AI adoption, erode trust in AI systems, and prevent teams from realizing tangible business value.

Graph-powered Retrieval Augmented Generation (GraphRAG) addresses these challenges by combining vector search with knowledge graphs and advanced data science techniques to deliver enhanced context, deeper semantic understanding, and real-time insights. In this 30 minute webinar, we’ll show you how to use structured and unstructured data to build knowledge graphs that empower your GenAI to return more accurate insights, better personalization, and production-ready AI applications.

We’ll cover:

Why traditional RAG falls short when it comes to accuracy and trust  
How to combine vector search and knowledge graphs for rich context  
How to transform structured and unstructured data into connected, AI-ready knowledge  
Practical code examples you can apply immediately  
Best practices from AWS and Neo4j experts for building GenAI and agentic apps  
Register now to save your spot.

SPEAKER  
@abk  
Director, Developer Advocacy, Neo4j

Andreas is a technological humanist. Starting at NASA, Andreas designed systems from scratch to support science missions. Then, in Zambia, he built medical informatics systems to apply technology for social good. Now with Neo4j, he is spreading the good news about how to think in graphs and to validate and extend our intuitions about how the world works. Everything is connected.

@jeremy.adams  
Senior Developer Advocate, Neo4j

Jeremy is one of those curious folks with both a technical and a strategic streak. Passionate about people and entrepreneurship, integration and automation. Through technical/business roles at Neo4j, Dagger, GitHub, Twistlock, and Puppet, Jeremy has both zoomed in and zoomed out a lot, acquiring an appreciation for the details and an ever-broader sense of the big architectural picture.