Spring ai developer series - 2-teilige buchserie (2 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware - Artificial intelligence is transforming software development, but Java developers do not need to leave the Spring ecosystem to build intelligent applications.Spring AI Developer Guide provides a practical, developer-focused introduction to building AI-powered applications with Java and Spring Boot. Rather than approaching AI from a research or data-science perspective, this book focuses on the engineering skills developers need to integrate modern AI capabilities into applications they already know how to build.Starting with the fundamentals of large language models, readers learn how tokens, context, embeddings, transformers, and model interactions affect application design. The book then moves into practical Spring AI development, covering model integration, the ChatClient API, prompt engineering, structured responses, embeddings, vector stores, and retrieval-augmented generation.Throughout the book, concepts are connected to real application-development scenarios, helping readers understand not only how to use AI APIs, but also why particular architectural and implementation choices matter.Inside the Book, You Will Explore: - The foundations of large language models and modern AI applications- How Spring AI fits into the Spring Boot development ecosystem- Configuring and interacting with AI models from Java applications- Building conversational applications with the ChatClient API- Designing effective system, user, and reusable prompts- Working with structured outputs and AI-generated responses- Understanding embeddings and semantic similarity- Building retrieval-augmented generation applications- Processing, chunking, embedding, and retrieving documents- Working with vector stores and persistent AI knowledge- Connecting AI capabilities to real Spring Boot services- Designing maintainable and extensible AI application architectures- Testing and evaluating AI-powered application behavior- Preparing AI applications for reliable real-world useBy the end of the book, you will have a solid foundation for designing and implementing intelligent Spring Boot applications and the practical knowledge required to continue into more advanced AI engineering patterns.Spring AI Developer Guide is ideal for Java developers, Spring Boot engineers, backend developers, software architects, and experienced programmers who want a practical path into AI application development without abandoning the Java ecosystem.…

Taschenbuch. Zustand: Neu. Neuware - Building a basic AI-powered application is only the beginning. Real-world systems require reliable retrieval, intelligent tool use, security, observability, resilience, evaluation, and production-ready architecture.Spring AI Advanced Developer Guide takes the concepts introduced in the first volume and moves into advanced AI engineering with Java and Spring Boot. It is designed for developers and architects who want to move beyond simple model interactions and build sophisticated AI systems capable of interacting with data, invoking tools, coordinating workflows, and operating reliably in production environments.The book explores advanced patterns for retrieval-augmented generation, AI agents, tool calling, Model Context Protocol integrations, multimodal applications, local AI models, and enterprise-oriented AI architecture. It also addresses the engineering challenges that emerge when AI applications move from prototypes into real systems.Inside the Book, You Will Explore: - Designing advanced retrieval-augmented generation architectures- Improving retrieval quality, relevance, and contextual grounding- Building AI agents with Spring AI- Implementing tool calling and real-world application actions- Designing multi-step AI workflows and agent orchestration- Connecting AI applications through the Model Context Protocol- Building multimodal applications that work with more than text- Integrating locally hosted models into Spring Boot applications- Designing AI systems that remain maintainable as complexity grows- Protecting applications against prompt injection and other AI-specific threats- Managing model failures, timeouts, retries, and service degradation- Implementing observability and monitoring for AI workloads- Tracking model usage and controlling AI-related costs- Evaluating AI responses and measuring application quality- Containerizing and deploying intelligent Spring Boot applications- Applying production architecture patterns for scalable AI servicesThe focus throughout the book is on engineering discipline: designing AI systems that are understandable, testable, observable, secure, resilient, and maintainable rather than simply demonstrating isolated AI features.By the end of this volume, you will be equipped to design and build sophisticated AI-powered Spring Boot systems that go beyond basic chat interfaces and integrate intelligent reasoning, retrieval, tools, external services, and production infrastructure.Spring AI Advanced Developer Guide is intended for experienced Java and Spring Boot developers, backend engineers, software architects, technical leads, and developers who have completed the fundamentals of AI application development and are ready to build more advanced systems.…