Mastering GraphRAG with Neo4j
Description
In this workshop, you will learn about the neo4j-graphrag Python open-source package and how it can be used to build Retrieval-Augmented Generation (RAG) applications. You will also learn how to integrate Neo4j with generative AI models to enhance graph-powered applications and AI solutions.
Abstract
Join us for an intensive hands-on workshop where you'll dive deep into building GraphRAG applications using Neo4j. This workshop will cover everything from setting up your development environment to implementing advanced RAG patterns using graph databases. You'll learn practical techniques for enhancing your AI applications with graph-powered context and reasoning capabilities.
Key Takeaways
- Master the neo4j-graphrag Python package for building RAG applications
- Learn how to integrate Neo4j with generative AI models
- Understand graph-based approaches to enhance RAG systems
- Implement practical solutions for graph-powered AI applications
- Gain hands-on experience with real-world GraphRAG implementations
Prerequisites
- Basic understanding of Python
- Familiarity with RAG concepts
- Basic knowledge of graph databases (helpful but not required)
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.