A successful JSON response containing the response field confirms everything is working correctly.
There is an app called (native macOS GUI for Ollama). If you meant Java work with Ollamac, same Java clients apply. ollamac java work
public ChatRestController(ChatService chatService) this.chatService = chatService; A successful JSON response containing the response field
Empowering Local AI: How to Make Ollama and Java Work Together public ChatRestController(ChatService chatService) this
| Problem | Likely Cause | Solution | | :--- | :--- | :--- | | Connection refused | Ollama server is not running. | Ensure ollama serve is running in the background or Docker container is active. | | Model 'xyz' not found | The specified model hasn't been pulled. | Run ollama pull <model-name> on the command line. | | Slow response times | Model is too large for available RAM/VRAM. | Use a smaller quantized model (e.g., qwen2.5:7b-q4_K_M ). | | Garbled or nonsensical output | Incorrect model parameters or prompt format. | Simplify your prompt. Adjust temperature to be lower (e.g., 0.2). |
: Add the Maven or Gradle dependency for your chosen framework (e.g., spring-ai-ollama-ai-starter for Spring AI).
ollama run llama3