Sentiment Analysis with Java, Quarkus, LangChain4j, and Local LLMs
SMRTR summary
A Quarkus-based sentiment analysis API using local LLMs is developed. The project leverages Quarkus, LangChain4j, and Ollama to create a REST endpoint that classifies text as positive, negative, or neutral. The API runs entirely on-device, offering privacy and avoiding cloud dependencies.
The guide outlines steps to set up the project, configure Ollama, create necessary Java classes, and test the API. It demonstrates how to build AI-powered applications locally using modern Java tools and frameworks.
SMRTR provides this summary for quick context. The original article belongs to Daily.dev.
Read the original article