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Wed, April 22DataTech ArchitectureDeepTech
Global HR policy automation is a key part of Human Capital Management transformation, yet employees often struggle to get clear and timely answers to policy questions. This beginner-friendly session demonstrates how to build a Global Policy Assistant using GraphRAG and Neo4j. You will learn how to model HR policies as connected data, combine graph-based retrieval with vector search and large language models, and deliver accurate, context-aware responses. The session focuses on practical implementation steps and real-world HR data challenges.
What You Will Learn
How to structure HR policies as connected data using a graph model
How to combine graph-powered retrieval, vector search, and LLMs for accurate responses
A practical approach to building an AI-powered assistant for global HR policy use cases
Who Should Attend
Developers and engineers new to GraphRAG
Data engineers and platform engineers
HR technology professionals
Architects exploring AI-driven knowledge assistants
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Puneet Garg is an AI Solutions Architect at Neo4j with experience spanning software engineering and sales. Over the course of his career, he has worked across diverse domains including document management, network and cyber security, and data analytics.
He holds an academic background in Information Technology and is a technology enthusiast with a strong interest in how shifts in technology enable the creation of innovative, next-generation, customer-centric products and solutions.
