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Ep60: Langchain4j & Neo4j Integration Breakthroughs + The Decade of Agents in AI
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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:
- Neo4j Fundamentals & GenAI hands-on workshop (learn more about workshop) – December 11th, virtual and free.
- GraphRAG Fundamentals course on O’Reilly (course details) – December 18th.
- NODES 2025 conference session recordings now available (full YouTube playlist).
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