In this episode of Breaktime Tech Talks, dive into the real-world challenges and discoveries from my recent work with Langchain4j, Quarkus, and Neo4j. If you’re a developer navigating the evolving landscape of AI, vector search, and graph databases, this episode is packed with practical insights and lessons learned.

Highlights:

Tune in for practical advice, honest roadblocks, and new ideas for building smarter, more flexible developer tools!

In this episode of Breaktime Tech Talks, I share an inside look into developer advocacy, discuss the highs and lows of the role, and review new features in the Cypher query language.

Highlights:

Every tech role has its ups and downs, but I've found my place. Don’t miss my insights on Cypher’s latest features and stay tuned for more updates on my projects and events. Thanks for listening, and happy coding!

In this episode of Breaktime Tech Talks, we focus on frameworks, libraries, and integrations that streamline workflows and enable more powerful applications.

Key Technical Topics Covered:

Explore the latest challenge with Neo4j vector indexes, demystify Model Context Protocol (MCP), and hear insights on vibe coding and Retrieval-Augmented Generation (RAG).

What's Inside:

Links & Resources:

Thanks for listening! If you enjoyed this episode, please subscribe, share, and leave a review. Happy coding!

Hear my latest hands-on experiences and lessons learned from the world of AI, graph databases, and developer tooling.

What’s Inside:

Links & Resources:

Thanks for listening! If you enjoyed this episode, please subscribe, share, and leave a review. Happy coding!

It's the 50th episode of Breaktime Tech Talks! And to celebrate, I launched a podcast feedback form for you, my listeners.

In this 50th episode, follow my latest explorations into Spring AI and GraphRAG. I delve into my attempts to streamline the manual GraphRAG process using Spring AI advisors and tools, sharing the challenges I'm facing, specifically with context parsing from one advisor to the next. I also update the Spring AI starter kit to the 1.0 GA release and recap my Neo4j developer certification livestream. To wrap up, I highlight the Spring AI documentation's AI Concepts page that beautifully blends a blog-post style with key project information.

This week, I simplified my Langchain4j project with improved prompt variable injection. Then hear my perspective on the role of tools vs. agents in AI workflows—looking at how structured processes differ from autonomous systems, especially in the context of Java frameworks and GraphRAG.

Get an inside scoop on how I use different AI coding tools: IntelliJ IDEA for in-flow coding, VS Code with agent mode for problem-solving, and ChatGPT for summarizing and refining content.

Lastly, hear highlights from an article on building a local RAG app with Quarkus—clear diagrams and step-by-step breakdown of ingestion vs. retrieval workflows.