Silicon Valley

We encourage you to join us early to collect your name badge, and network over a light breakfast. Agenda starts at 9:00am.

Robin Kim, VP Communications, Neo4j

Chandra Rangan, CMO, Neo4j

Join us as Neo4j’s Chandra Rangan explains how graph reveals the natural connections in your business data and provides the context AI needs to deliver real results. See how leading organizations turn enterprise knowledge into competitive advantage, powering intelligent decisions and driving business transformation.

Javad Ansarifar, Senior AI/ML Fraud Strategist & Data Science Engineer, Adobe

As abuse and fraud tactics grow increasingly sophisticated, organizations must adopt smarter, context-aware systems to detect and investigate threats. In this session, Javad will share how his team built an AI-powered chatbot on Neo4j that leverages the ReAct agent architecture to navigate, query, and explain insights from complex graph data.

Attendees will learn how combining natural language interfaces, temporal reasoning, and graph traversal logic enables investigators to ask high-level questions and receive transparent, explainable responses grounded in graph queries. The system is designed to handle multi-hop query complexity across deeply connected entities, optimizing both performance and explainability when navigating indirect, layered relationships in the graph.

The session will also highlight key challenges in orchestrating LLMs, retrieval-augmented generation (RAG), and Cypher query generation — and how the system balances flexibility with precision.

Whether you’re optimizing decision workflows, uncovering operational risks, or enabling teams to query complex relationships without writing code, this talk will offer practical strategies for applying AI-driven graph assistants to improve speed, transparency, and impact.

Sudhir Hasbe, CPO, Neo4j

Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.

See the power of Neo4j in action and join one of our two hands-on interactive workshops. There’s something for everyone, whether you’re new to the world of graphs, or a little more experienced. Bring your laptop and join one of these:

Hands-On Workshop: Create a Graph-Backed App from Scratch

Join this hands-on workshop led by Neo4j experts guiding you to systematically uncover contextual intelligence. Using a real-life dataset we will build step-by-step a graph solution; from building the graph data model to running queries and data visualization. The approach will be applicable across multiple use cases and industries.

Hands-On GraphRAG Workshop: Building Smarter GenAI Apps with Knowledge Graphs

While GenAI offers great potential, it faces challenges with hallucination and limited domain knowledge. Graph-powered retrieval augmented generation (GraphRAG) helps overcome these challenges by integrating vector search with knowledge graphs and data science techniques. This approach improves context, enhances semantic understanding, enables personalization, and facilitates real-time updates.

In this workshop, you’ll explore detailed code examples to kickstart your journey with GenAI and graphs. You’ll leave with practical skills you can immediately apply to your own projects

Complete the day by networking with your peers and the graph community over light refreshments.