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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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60 episodes