Agents, Assemble! Unleashing Agentic RAGs with Knowledge Graphs
Description
Step into the future of Retrieval-Augmented Generation where autonomous agents don't just fetch facts — they reason with them. In this talk, we'll explore how Agentic RAGs, supercharged with Knowledge Graphs, create intelligent multi-hop workflows, unlock contextual memory, and dynamically orchestrate information across domains.
Abstract
If you're building the next generation of LLM-powered systems, this is your blueprint for intelligent agents that think before they speak. We'll dive deep into how Knowledge Graphs enhance RAG systems by providing structured context, enabling multi-hop reasoning, and creating more intelligent retrieval mechanisms. From understanding the fundamentals of agentic RAGs to implementing practical solutions with Neo4j, this session will equip you with the knowledge to build more sophisticated AI systems.
Key Takeaways
- Understand how Knowledge Graphs enhance RAG systems with structured context
- Learn to implement multi-hop reasoning in agentic RAG workflows
- Discover techniques for creating intelligent retrieval mechanisms
- Explore practical implementation strategies with Neo4j
- Gain insights into building more sophisticated AI systems
Speaker
Siddhant Agarwal
Developer Relations Lead APAC, Neo4j
Siddhant Agarwal is a seasoned DevRel professional with over a decade of experience building and scaling developer ecosystems globally. Currently leading Developer Relations across APAC at Neo4j and a Google Developer Expert in Gen-AI, Sid is known for his unique ability to tell powerful stories through technology—translating complex ideas into compelling narratives that resonate with developers. With his signature "Local to Global" approach, he turns grassroots innovation into global impact. Previously at Google managing flagship developer programs, he has shared his technical expertise at diverse forums worldwide, fueling inspiration and innovation. Know more at meetsid.dev.