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Learn to implement Spring AI Advisors, an AOP-style solution for intercepting, modifying, and enhancing AI interactions in Spring applications without cluttering business logic. Master built-in advisors including the Question & Answer Advisor for implementing retrieval-augmented generation (RAG) and the Chat Memory Advisor for maintaining conversation history in stateless applications. Develop custom advisors for logging, authentication, and data transformation while exploring real-world implementations using OpenAI integration and vector stores. Discover how advisors integrate with observability tools for metrics and tracing, and understand best practices for choosing between blocking and streaming advisor implementations. Gain hands-on experience setting up demo projects, implementing RAG without complex vector store management, adding conversational memory capabilities, and creating comprehensive request/response logging systems. Build upon foundational AI concepts to achieve clean separation of concerns in AI applications while maintaining debugging capabilities through detailed interaction logging.
