Java meets AI: Build LLM-Powered Apps with LangChain4j by Deandrea, Andrianakis, Escoffier

Join us for a guided tour through the possibilities of the LangChain4j framework! Chat with virtually any LLM provider (OpenAI, Gemini, HuggingFace, Azure, AWS, ...)? Generate AI images straight from your Java application with Dall-E and Gemini? Have LLMs return POJOs? Interact with local models on your machine? LangChain4j makes it a piece of cake! We will explain the fundamental building blocks of LLM-powered applications, show you how to chain them together into AI Services, and how to interact with your knowledge base using advanced RAG.Then, we take a deeper dive into the Quarkus LangChain4j integration. We'll show how little code is needed when using Quarkus, how live reload makes experimenting with prompts a breeze and finally we'll look at its native image generation capabilities, aiming to get your AI-powered app deployment-ready in no time. By the end of this session, you will have all the technical knowledge to get your hands dirty, along with plenty of inspiration for designing the apps of the future.

[mariorez]

4:08 - Some examples of AI-Infused applications
16:37 - AI-Infused applications
34:00 - The basics - Chat Models
58:13 - AI Services
1:44:34 - RAG
2:13:48 - Function Calling, Agents and Tools

[DIEGOGO]

Thanks a lot for uploading this, I'm only 1 hour in but its super interesting! I just started to learn about langchain4j and its my introduction to AI development in general and this video has cleared a lot of questions I had.

I'll be using this technology for a side-business idea and will definetely start following this project. Thanks a lot to Deandrea, Andrianakis and
Escoffier!