A hands-on guide to building a local sentiment analysis REST API using Java, Quarkus, and LangChain4j with Ollama-managed LLMs. The tutorial demonstrates creating a privacy-focused sentiment classifier that runs entirely on your machine using the Phi-3 Mini model, eliminating the need for cloud APIs or external dependencies. It

5m read timeFrom foojay.io
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Table of contents
What You’ll BuildPrerequisitesBootstrap Your Quarkus ProjectConfigure Ollama and Dev ServicesDefine the Sentiment EnumCreate the AI Classification ServiceExpose the Sentiment APIRun It!Test It!Final ThoughtsWhat’s Next?

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