Name: Agentic AI x Graphs: Connecting Context, Reasoning, and Action
Start: 2025-11-26T18:30:00+08:00
End: 2025-11-26T20:30:00+08:00
Location: IMDA

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: Neo4j Aura Agent: Create Your Own GraphRAG Agent by Zac Tan
\- 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.

🎤 Zac Tan, AI Solutions Architect, Neo4j
**Talk Topic:** Neo4j Aura Agent: Create Your Own GraphRAG Agent
**Talk Description:** Join Zac Tan for an in-depth look at building context-aware GraphRAG agents that blend knowledge-graph reasoning with LLM-driven orchestration. He will unpack how vector and Cypher retrieval, tool-using agents, and graph grounding work together to create more explainable and scalable AI systems.
**Speaker Bio:** Zac Tan is an AI Solutions Architect and former data scientist who brings together technical depth and customer-centric consulting to help teams adopt AI responsibly and effectively.

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.

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

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