Introduction

The rise of Large Language Models (LLMs) has opened new doors for AI-powered applications, enabling dynamic interactions, natural language processing, and retrieval-augmented generation (RAG). However, integrating these powerful models into Java applications can be challenging. This is where LangChain4J comes in – a framework designed to simplify AI development in Java.

To take things a step further, in version 4.2, Helidon introduced seamless LangChain4J integration, making it easier to build AI-driven applications while leveraging Helidon’s programming model and style. In this blog post, we’ll explore how this integration simplifies AI application development and how you can use it in your projects.