Java Meets AI: How to Build LLM-Powered Apps with LangChain4j and Lize Raes

Do you want to build applications powered by Large Language Models (LLMs) using Java? We built LangChain4j exactly for that! The framework allows you to easily create AI-powered chatbots, process loads of unstructured data, and automate processes with the help of AI Services, that can use various tools: call APIs, access databases, and even dynamically execute generated code. You will get a hands-on guided tour through LangChain4j's functionality and its integrations (OpenAI, Google Gemini, HuggingFace, Dall-E, Quarkus, Spring Boot, etc.). We will explain the fundamental building blocks of LLM-powered applications and show you how to chain them together into AI Services. By the end of this session, you will have all the technical knowledge to start coding, along with plenty of inspiration for designing the new generation of apps.
Speaker
Lize Raes is AI Transition Specialist at Open Tide
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LangChain4j repo: github.com/langchain4j/langchain4j
Tutorials: github.com/langchain4j/langchain4j-examples/tree/main/tutorials
The feedback demo app: github.com/LizeRaes/feedback-analyzer/
Slides: epic.engineering/presentations/

[@aturan-fo1qt]

Nice, thank you!