Spring AI Advisors: Intercept & Enhance Every AI Call (AOP for AI!

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Discover the power of Spring AI Advisors - the AOP-style solution that lets you intercept, modify, and enhance every AI interaction in your Spring applications!
In this tutorial, you'll learn how to add logging, memory, and retrieval-augmented generation (RAG) capabilities to your Spring AI applications without cluttering your business logic. Think of advisors as Aspect-Oriented Programming (AOP) for AI interactions!
What You'll Learn:
• Built-in Advisors: Question & Answer Advisor for RAG and Chat Memory Advisor for conversation history
• Custom Advisor Development: Build your own logging advisor that captures requests, responses, and metadata
• Real-World Implementation: Complete code examples using OpenAI integration and vector stores
Observability Integration: How advisors participate in metrics and tracing
• Best Practices: When to use blocking vs streaming advisor implementations
Key Takeaways:
✅ Implement RAG without complex vector store management
✅ Add conversational memory to stateless applications
✅ Create custom advisors for logging, authentication, or data transformation
✅ Maintain clean separation of concerns in your AI applications
✅ Debug AI interactions with comprehensive request/response logging
🎬 Timestamps:
00:00 Introduction to Spring AI Advisors
01:45 Documentation Overview & Core Components
04:30 Setting Up the Demo Project
06:00 Question & Answer Advisor (RAG Implementation)
14:10 Chat Memory Advisor Tutorial
18:25 Building Custom Advisors
25:00 Logging Advisor in Action https://vkvideo.ru/video-111905078_456248841