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How to use LLMs in Java with LangChain4j and Quarkus

Java and Quarkus

In the ever-evolving landscape of artificial intelligence (AI), large language models (LLMs) have emerged as a game-changer, transforming how we interact with and derive insights from textual data. As a Java developer, diving into the world of AI might seem intimidating, but it’s not! This tutorial is your gateway to use the power of LLMs through the integration of LangChain4j and Quarkus.

Exploring the capabilities of LangChain4j and Quarkus

LangChain4j, a Java library specializing in natural language processing (NLP), will play a crucial role in this tutorial. Using LangChain4j with Quarkus, a cloud-native, container-first framework, we will develop a tool proficient in analyzing and summarizing the content of blog posts. 

The objective here is not just to create a tool, but rather to provide Java developers with the skills to seamlessly integrate LLMs, comprehend the nuances of AI, and refine their skill set through practical application.

Read the article in the Red Hat Developer blog.