https://speakerdeck.com/raffaeleauriemma 2025-12-11 06:51:35 -0500 Large Language Models (LLMs) are transforming how we build intelligent applications, but bringing them into enterprise systems, and evolving them into <strong>Agentic AI</strong> systems, can be challenging. In this talk, we’ll explore how <strong>Spring AI</strong> simplifies LLM integration, making it easy to connect to different providers with minimal effort and <strong>swap models without rewriting business logic</strong>. You’ll learn how to build intelligent Agents that can reason, act, and interact using tools and workflows. We’ll also cover <strong>Retrieval-Augmented Generation (RAG)</strong> to enrich model responses and reduce hallucinations by grounding outputs in your own data, and how the <strong>Model Context Protocol (MCP)</strong> enables seamless interoperability between AI services, and existing systems. Through practical examples, you’ll see how to design and implement production-ready, context-aware, agent-driven applications using Spring AI. Large Language Models (LLMs) are transforming how we build intelligent applications, but bringing them into enterprise systems, and evolving them into <strong>Agentic AI</strong> systems, can be challenging. In this talk, we’ll explore how <strong>Spring AI</strong> simplifies LLM integration, making it easy to connect to different providers with minimal effort and <strong>swap models without rewriting business logic</strong>. You’ll learn how to build intelligent Agents that can reason, act, and interact using tools and workflows. We’ll also cover <strong>Retrieval-Augmented Generation (RAG)</strong> to enrich model responses and reduce hallucinations by grounding outputs in your own data, and how the <strong>Model Context Protocol (MCP)</strong> enables seamless interoperability between AI services, and existing systems. Through practical examples, you’ll see how to design and implement production-ready, context-aware, agent-driven applications using Spring AI. Thu, 16 Jul 2026 00:00:00 -0400 https://speakerdeck.com/raffaeleauriemma/ai-isnt-a-python-only-diet-agentic-ai-with-spring-joins-the-menu-71656f67-b7af-4c7c-af85-c2c1109f9238 https://speakerdeck.com/raffaeleauriemma/ai-isnt-a-python-only-diet-agentic-ai-with-spring-joins-the-menu-71656f67-b7af-4c7c-af85-c2c1109f9238 Large Language Models (LLMs) are transforming how we build intelligent applications, but bringing them into enterprise systems, and evolving them into Agentic AI systems, can be challenging. In this talk, we’ll explore how Spring AI simplifies LLM integration, making it easy to connect to different providers with minimal effort and swap models without rewriting business logic. You’ll learn how to build intelligent Agents that can reason, act, and interact using tools and workflows. We’ll also cover Retrieval-Augmented Generation (RAG) to enrich model responses and reduce hallucinations by grounding outputs in your own data, and how the Model Context Protocol (MCP) enables seamless interoperability between AI services, and existing systems. Through practical examples, you’ll see how to design and implement production-ready, context-aware, agent-driven applications using Spring AI. Large Language Models (LLMs) are transforming how we build intelligent applications, but bringing them into enterprise systems, and evolving them into Agentic AI systems, can be challenging. In this talk, we’ll explore how Spring AI simplifies LLM integration, making it easy to connect to different providers with minimal effort and swap models without rewriting business logic. You’ll learn how to build intelligent Agents that can reason, act, and interact using tools and workflows. We’ll also cover Retrieval-Augmented Generation (RAG) to enrich model responses and reduce hallucinations by grounding outputs in your own data, and how the Model Context Protocol (MCP) enables seamless interoperability between AI services, and existing systems. Through practical examples, you’ll see how to design and implement production-ready, context-aware, agent-driven applications using Spring AI. Thu, 23 Apr 2026 00:00:00 -0400 https://speakerdeck.com/raffaeleauriemma/ai-isnt-a-python-only-diet-agentic-ai-with-spring-joins-the-menu https://speakerdeck.com/raffaeleauriemma/ai-isnt-a-python-only-diet-agentic-ai-with-spring-joins-the-menu Large Language Models (LLMs) are transforming how we build intelligent applications, but bringing them into enterprise systems can be challenging. In this talk, we’ll explore how Spring AI simplifies LLM integration, making it easy to connect to different providers with minimal effort and swap models without rewriting business logic. You’ll also learn how to use Retrieval-Augmented Generation (RAG) to enrich model responses and reduce hallucinations by grounding model outputs in your own data, and how the Model Context Protocol (MCP) enables seamless interoperability between AI services and existing systems. Through practical examples, you’ll see how to build production-ready, context-aware applications with Spring AI. Large Language Models (LLMs) are transforming how we build intelligent applications, but bringing them into enterprise systems can be challenging. In this talk, we’ll explore how Spring AI simplifies LLM integration, making it easy to connect to different providers with minimal effort and swap models without rewriting business logic. You’ll also learn how to use Retrieval-Augmented Generation (RAG) to enrich model responses and reduce hallucinations by grounding model outputs in your own data, and how the Model Context Protocol (MCP) enables seamless interoperability between AI services and existing systems. Through practical examples, you’ll see how to build production-ready, context-aware applications with Spring AI. Thu, 11 Dec 2025 00:00:00 -0500 https://speakerdeck.com/raffaeleauriemma/ai-isnt-a-python-only-diet-spring-ai-joins-the-menu https://speakerdeck.com/raffaeleauriemma/ai-isnt-a-python-only-diet-spring-ai-joins-the-menu