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Explore graph technology and GraphRAG in this comprehensive workshop designed for developers, data scientists, architects, and application owners. Dive into the world of graph databases and discover how knowledge graphs can effectively model both unstructured and structured data using Neo4j. Learn how Neo4j graph data science algorithms provide additional insights to knowledge graphs, enhancing their capacity to derive new relationships and uncover hidden patterns. Understand GraphRAG (Graph powered retrieval augmented generation) where knowledge graphs provide context for LLMs to reduce hallucinations and deliver accurate, relevant responses. Gain hands-on experience through practical notebooks, code examples, and blogs that demonstrate building real applications using the Neo4j database and related tooling to implement GraphRAG. Master graph database fundamentals including Cypher query language, discover how to power trustworthy GenAI applications with Neo4j, and learn best practices for integrating Neo4j into your existing workflow. Led by Phani Dathar, Ph.D, Director of Graph Data Science at Neo4j, who brings over a decade of experience in computational sciences and AI/ML consulting to guide you through leveraging the power of graphs in your projects.
