Join us together with Zilliz for an exciting meetup where we dive into the power of graphs and vectors for Generative AI! Come on a journey through the world of knowledge graphs in GenAI, revealing their pivotal role in AI models, vector indexes, and knowledge representation. Learn how to build a GraphRAG Agent using Neo4j and Milvus, combining graph databases and vector search for intelligent, accurate query responses!

Whether you're new or experienced, this meetup will expand your understanding of how graphs shape AI innovation.

Session 1: Building a GraphRAG Agent With Neo4j and Milvus - Stephen Batifol\, Developer Advocate at Zilliz

In this talk we will show how to build a GraphRAG Agent with Neo4j and Milvus. We will show how an agent can combine the power of graph databases and vector search to provide accurate and relevant answers to user queries. We will also show how an Agent can use routing, fallback mechanisms, and self-correction.We will use LangGraph, Llama 3.1 8B with Ollama and GPT-4o. Of course, there will be a live demo of how everything works together.

Stephen previously worked as a Machine Learning Engineer at Wolt, where he created and worked on the ML Platform, and previously as a Data Scientist at Brevo. Stephen studied Computer Science and Artificial Intelligence. He is a founding member of the MLOps.community Berlin group, where he organizes Meetups and hackathons. He enjoys boxing and surfing.

Session 2: A Field Guide to Knowledge Graphs used in GenAI - Andreas Kolleger, Lead for GenAI Innovation at Neo4j

Join us for an exhilarating journey into the world of Knowledge Graphs within Generative AI! Graphs are the hidden backbone of GenAI applications, surfacing everywhere from the AI models themselves to intricate vector indexes and, of course, as fundamental tools for knowledge representation. We will uncover graphs' pervasive presence, delve into their diverse forms, and reveal how they weave together to form a vast, interconnected "graph of graphs." Whether you're a seasoned professional or just beginning your adventure in GenAI, this session promises to deepen your understanding and spark new insights into the critical role of knowledge graphs.

Andreas is a technological humanist. Starting at NASA, he designed systems from scratch to support science missions. Then in Zambia, he built medical informatics systems that complement technology with social good. Now with Neo4j, he is democratizing graph databases which elevate understanding by emphasizing relationships.