Ollamac Java Work Guide

Flux<String> responseStream = chatModel.stream(new Prompt(history)) .flatMap(response -> Flux.fromIterable(response.getResults())) .map(result -> result.getOutput().getContent());

<dependency> <groupId>org.springframework.ai</groupId> <artifactId>spring-ai-ollama-spring-boot-starter</artifactId> <version>1.0.0-M6</version> </dependency>

(For Windows, a graphical installer is available.) ollamac java work

To make this ecosystem function seamlessly, install the requirements in the following order: Step 1: Install and Run Ollama

@RestController @RequestMapping("/api") public class ChatRestController private final ChatService chatService; Flux&lt;String&gt; responseStream = chatModel

Add the dependency to your pom.xml :

If you want a more object-oriented, type-safe way to interact with Ollama, is the most dedicated and popular Java library for the job. It acts as a wrapper/binding for the Ollama server, abstracting away the HTTP and JSON details. It has impressive capabilities: text generation, multi-turn chat, tool/function calling, embedding generation, and even built-in metrics export via Prometheus. The era of local LLMs running alongside your JVM has arrived

The era of local LLMs running alongside your JVM has arrived. Make your OllamaC Java work today.