DiscoverBreaktime Tech TalksEp60: Langchain4j & Neo4j Integration Breakthroughs + The Decade of Agents in AI
Ep60: Langchain4j & Neo4j Integration Breakthroughs + The Decade of Agents in AI

Ep60: Langchain4j & Neo4j Integration Breakthroughs + The Decade of Agents in AI

Update: 2025-11-21
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Description

Welcome to Breaktime Tech Talks! In this episode, dive into the latest updates and challenges in the world of developer tools, AI, and graph databases. 


Episode Highlights:



  • Overcoming technical hurdles with Langchain4j and Neo4j, including the new support for read-only Neo4j databases in vector indexing (Github feature pull request).

  • Navigating versioning headaches and framework differences between Spring AI and Quarkus for AI-powered applications.

  • Lessons learned from hands-on work with Neo4j GraphAcademy courses (GraphAcademy GenAI Fundamentals), including AI and knowledge graphs.

  • Key takeaways from the Andrej Karpathy interview (YouTube interview link), including:

    • The strengths and limitations of large language models (LLMs) for developers.

    • The concept of the “decade of agents” and how agents are shaping the future tech stack.

    • The importance of teaching as a way to deepen technical understanding.



  • Upcoming events and workshops:


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Ep60: Langchain4j & Neo4j Integration Breakthroughs + The Decade of Agents in AI

Ep60: Langchain4j & Neo4j Integration Breakthroughs + The Decade of Agents in AI

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