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RAG Applications with Spring AI and PostgreSQL: Build Document Search and Question-Answering Systems with pgvector, Hybrid Retrieval, Reranking, ... Spring AI Development Series, Band 2) - Couverture souple

Livre 2 sur 2: The Practical Spring AI Development Series

Byteforge, Liora

 
9798161485910: RAG Applications with Spring AI and PostgreSQL: Build Document Search and Question-Answering Systems with pgvector, Hybrid Retrieval, Reranking, ... Spring AI Development Series, Band 2)
Couverture souple
ISBN 13 : 9798161485910
Editeur : Independently published, 2026

Synopsis

Build Production-Ready RAG Applications with Spring AI, PostgreSQL, and pgvector

Go beyond basic AI chatbots and master the engineering of reliable, secure, and scalable retrieval-augmented generation (RAG) systems.

RAG Applications with Spring AI and PostgreSQL provides a practical approach to building intelligent document search and question-answering applications using Java 21, Spring Boot 4, Spring AI 2, PostgreSQL, and pgvector.

Through AtlasRAG, a realistic enterprise knowledge-search project, you'll explore how to design, implement, evaluate, and operate RAG applications.

What You'll Learn

  • Build RAG applications with Spring AI and Spring Boot.

  • Implement vector similarity search with PostgreSQL and pgvector.

  • Design reliable document ingestion, chunking, and embedding pipelines.

  • Combine semantic and full-text search using hybrid retrieval and reranking.

  • Generate evidence-grounded answers with trustworthy citations.

  • Evaluate retrieval accuracy, answer quality, and system performance.

  • Implement tenant isolation, access controls, and prompt-injection defenses.

  • Optimize caching, observability, scalability, and deployment.

  • Test production workflows using Docker, Testcontainers, and CI pipelines.

Who This Book Is For

Ideal for Java developers, Spring Boot engineers, AI application developers, backend architects, and technical professionals building enterprise AI solutions.

With practical Java examples, engineering exercises, and production-focused scenarios, this book takes you beyond RAG demonstrations toward dependable real-world applications.

Build smarter retrieval systems. Deliver trustworthy answers. Engineer RAG for production.

The Practical Spring AI Development Series — Book 2

Liora Byteforge

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2026
Langue
anglais
ISBN 13 
9798161485910
Reliure
Taschenbuch
Nombre de pages
346
Coordonnées du fabricant
Printed by Amazon on behalf of the author
https://www.amazon.de/hz/contact-us

c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy
Luxembourg
L-1855
Luxembourg