A comprehensive guide on implementing Spring AI project to interact with multiple chat models (OpenAI, Mistral AI, Ollama) in a Spring Boot application, demonstrating structured output generation, cha
t memory management, and easy provider switching using Maven profiles.
The article provides practical examples using a person data generation use case, showing how to configure and use different AI providers with minimal setup.
Reasons to Read -- Learn:
how to integrate multiple AI chat models (OpenAI, Mistral AI, Ollama) into a Spring Boot application using the Spring AI project, with specific examples of configuration and implementation.
how to implement chat memory and advisors in Spring AI applications, enabling stateful conversations and enhanced AI interactions with features like logging and prompt management.
how to generate structured JSON output from AI models using Spring AI's PromptTemplate and entity mapping, with a practical example of creating and managing person data.