Agentic AI x Graphs: Connecting Context, Reasoning, and Action

The future of AI is not just generative — it’s agentic. As AI systems evolve from responding to prompts to reasoning, planning, and acting autonomously, graphs are emerging as the missing link that connects context, memory, and intelligence.

In this session, we’ll explore how Agentic AI and Graph technologies converge to enable more context-aware, explainable, and reasoning-driven applications. From GraphRAG to AgenticRAG, discover how graph-based representations empower AI agents to go beyond retrieval — to truly understand relationships, reason across knowledge, and make informed decisions.

The agenda of the evening would be:
- 6:30pm: doors open
- 7:00pm: announcements and welcome
- 7.10pm: Agentic GraphRAG by Tomaz Bratanic
- 7:40pm: Talk 2
- 8:10pm: Networking
- 8:30pm: doors close

Speakers:
🎤 Tomaz Bratanic, GenAI Researcher, Neo4j
Talk Topic: Agentic GraphRAG
Talk Description: RAG works — until complex context kicks in. GraphRAG upgrades retrieval by weaving in knowledge graphs to structure information, boost relevance, and enable explainable, reasoning-driven generation. Discover how symbolic reasoning and neural search fuse to power next-gen agentic AI.
Speaker Bio: TOMAZ BRATANIC has extensive experience with graphs, machine learning, and generative AI. He has written an in-depth book about using graph algorithms and GraphRAG.

Expect live demos, real-world use cases, and discussions with the local Graph + GenAI community on how to build the next generation of intelligent, connected systems.