<ul data-eligibleForWebStory="true"><li>LangChain4j is a Java-centric tool for building LLM-powered applications, akin to LangChain in Python.</li><li>Ollama is a local LLM runtime to run models like LLaMA2 or Mistral on your machine via HTTP.</li><li>The guide covers setting up a Java project with LangChain4j, integrating it with Ollama, and utilizing LLMs.</li><li>Prerequisites include setting up Ollama and pulling the llama3.2 model.</li><li>Step-by-step instructions involve creating a Maven project, updating pom.xml, and defining a HelloWorld class.</li><li>The HelloWorld application sends a prompt to LLaMA3.2 and prints the response in the console.</li><li>OllamaLanguageModel builder specifies the Ollama model integration details in Java code.</li><li>Important details like baseUrl and modelName are set for interacting with the Ollama model.</li><li>A prompt is defined to inquire about Interesting Facts about LLMs in a concise manner.</li><li>The process generates a Response object including generated content, token usage, finish reason, and metadata.</li></ul>

Getting Started with LangChain4j and Ollama: A Step-by-Step Guide

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