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Learn to build sophisticated AI systems by combining retrieval-augmented generation (RAG) with agentic decision-making capabilities using SpringAI in Java-based enterprise environments. Explore comprehensive architecture patterns for context construction, model routing, and action planning while implementing dynamic retrieval mechanisms and recursive reasoning processes. Master essential guardrails and monitoring systems required for safe production deployments, covering best practices, performance trade-offs, and advanced evaluation techniques including model context protocol (MCP). Discover how to leverage cutting-edge models including Gemini Flash, Pro, and open-source alternatives to create context-aware, intelligent systems that can make autonomous decisions and retrieve information dynamically within modern enterprise applications.
