LangChain4j 4
LangChain4j is the bridge between Java developers and the modern LLM toolchain. These posts and podcast episodes cover what it brings to the JVM: building chatbots and agents, working with embeddings and vector databases, plugging RAG pipelines into existing Java apps, and connecting to providers like OpenAI, Anthropic, or local models. Expect interviews and conference reports where LangChain4j shows up alongside the broader Generative AI and machine learning conversation on the JVM.
Foojay Podcast #86: Agents, MCP, and Graph Databases: Java Developers Navigate the AI Revolution
AI tools keep landing on Java teams faster than anyone can evaluate them. The real question is not whether to use them, but how to keep production code reliable when agents start …
Foojay Podcast #62: Better Coding with AI: Friend or Enemy?
AI tools promise faster code and smarter suggestions, but how far can we trust them inside a real Java project? In this Foojay Podcast #62, we sat down with Grace Jansen, Sean Li, …
Foojay Podcast #49: JCON Report, Part 1 - JUGs, Communities, Open Source, Generative AI, LangChain4j, Machine Learning
Walking the floor at a Java conference is the fastest way to learn what the community actually cares about right now. We packed a microphone and took the Foojay Podcast on the road …
Foojay Podcast #47: Artificial Intelligence and Machine Learning with Java
ChatGPT changed the way many of us think about software, but the Java ecosystem already has the tools to join in. Frameworks like LangChain4j make it possible to wire large …