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Getting Started with Spring AI and Chat Model - Piotr's TechBlog
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.
  • publisher: Piotr's TechBlog - Java, Spring, Kotlin, microservices, Kubernetes, containers
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