In this episode of Breaktime Tech Talks, I share insights from my recent work, including a successful GraphRAG workshop and breakthroughs in utilizing Spring AI advisors for vector search and generative AI - check out code in my Github repository for QuestionAnswerAdvisor branch and custom advisors branch. I discuss my methods for integrating default and custom advisors, including coding details and implementation challenges. I also cover my exploration of Neo4j's GraphRAG Python package, highlighting its components and the learning curve. I give updates on my upcoming projects, advocacy activities, and my experience with new developer tools like Claude code. Finally, I share a great resource on everything you need to know about GraphRAG. 00:00 Introduction to Breaktime Tech Talks 00:37 GraphRAG Workshop and Python Learning 01:27 Spring AI Advisors and Custom Implementations 06:32 GraphRAG Python Package Insights 08:42 Developer Advocacy Updates 10:15 Exploring AI Tools and Learning Approaches 11:39 GraphRAG.com Resource Overview 12:53 Conclusion and Upcoming Projects