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

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).