
Stephen Chin is VP of Developer Relations at Neo4j, program chair and board member for the LF AI & Data Foundation, and author of numerous titles including the upcoming GraphRAG: The Definitive Guide for O'Reilly. He has given keynotes and main stage talks at numerous conferences around the world including AI Engineer Summit, AI DevSummit, Open Source Summit, Devoxx, Jfokus, DevNexus, JNation, JavaOne, Shift, Joker, swampUP, and GIDS. Stephen is an avid motorcyclist who has done evangelism tours in Europe, Japan, and Brazil, interviewing developers in their natural habitat. When he is not traveling, he enjoys teaching kids how to do AI, embedded, and robot programming together with his daughters.
Stephen Chin is VP of Developer Relations at Neo4j and co-author of the forthcoming O'Reilly book "GraphRAG: The Definitive Guide," giving him deep, hands-on expertise at the intersection of knowledge graphs and LLMs — exactly the territory driving enterprise AI adoption in 2026. Attending his session offers practical insight into context engineering, agentic GraphRAG architectures, and why graph-powered retrieval outperforms vanilla vector RAG for complex, explainable AI applications.
Connecting the Dots with Context Graphs — Stephen Chin, Neo4jMay 2026
Context Engineering: Connecting the Dots with Graphs — Stephen Chin, Neo4jAI Engineer Code Summit · Nov 2025
Context Engineering: Connecting the Dots with Graphs — Stephen Chin, AI By the Bay 2025AI By the Bay 2025 · Nov 2025
Agentic GraphRAG: AI's Logical Edge — Stephen Chin, Neo4jKnowledge Graph Conference (KGC) 2025 · Jul 2025
Practical GraphRAG: Making LLMs smarter with Knowledge Graphs — Michael, Jesus, and Stephen, Neo4jJul 2025Public activity researched automatically · as of Jun 2026