A bite-sized tech podcast for busy developers where we’ll briefly cover technical topics, new snippets, and more in short time blocks. Your host, Jennifer Reif, is an avid developer and problem-solver with special interest in data, learning, and all things technology.
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A bite-sized tech podcast for busy developers where we’ll briefly cover technical topics, new snippets, and more in short time blocks. Your host, Jennifer Reif, is an avid developer and problem-solver with special interest in data, learning, and all things technology.
Ep52: Enhancing AI with Spring Advisors + GraphRAG Python Adventures
Breaktime Tech Talks
13 minutes 26 seconds
3 months ago
Ep52: Enhancing AI with Spring Advisors + GraphRAG Python Adventures
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
Breaktime Tech Talks
A bite-sized tech podcast for busy developers where we’ll briefly cover technical topics, new snippets, and more in short time blocks. Your host, Jennifer Reif, is an avid developer and problem-solver with special interest in data, learning, and all things technology.
