RAG Mastery - Build Intelligent Search Systems : A Hands-On Guide to Retrieval-Augmented Generation with Python

Lingua: inglese

Editore: Amazon Digital Services LLC - Kdp Jul 2026, 2026

9798188979324

Serie: Libro 17 di 19 - The AI Masterclass Series

Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

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Condizione: Nuovo

EUR 42,16

EUR 35,00 spedizione 
Spedito da Germania a U.S.A.

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Descrizione dell’articolo da parte del venditore

Neuware - Build AI systems that answer with facts-not hallucinations.Retrieval-Augmented Generation (RAG) has become the foundation of modern AI applications, powering intelligent assistants, enterprise search engines, document question-answering systems, customer support bots, legal research platforms, and knowledge management solutions.RAG Mastery is a practical, code-first guide that teaches you how to design, build, optimize, and deploy production-ready Retrieval-Augmented Generation systems using Python and today's most powerful AI tools.Instead of overwhelming you with theory, this book walks you through complete implementations with clear explanations, real-world projects, and fully working code.Inside this book you'll learn how to: + Understand the complete RAG architecture from indexing to answer generation+ Build semantic search systems using embeddings and vector databases+ Master LangChain for modern AI application development+ Work with Chroma, FAISS, Pinecone, and Weaviate+ Load PDFs, Word documents, web pages, databases, and enterprise data+ Design effective chunking strategies for maximum retrieval quality+ Implement hybrid search, reranking, metadata filtering, and advanced retrieval techniques+ Build conversational RAG with memory and context awareness+ Evaluate RAG systems using industry-standard metrics+ Optimize latency, accuracy, scalability, and production performance+ Deploy enterprise-grade RAG applications with confidenceHands-on Projects Included- Intelligent Document Question-Answering System- Enterprise Knowledge Base Assistant- Multi-Source AI Research AssistantEvery chapter includes practical examples, production-ready Python code, best practices, troubleshooting advice, architectural insights, and implementation techniques that can be immediately applied to real-world AI products.Whether you're an AI engineer, Python developer, software architect, machine learning practitioner, data scientist, or computer science student, this book provides the skills needed to build reliable AI systems powered by Retrieval-Augmented Generation.If you want to move beyond chatbots and create intelligent AI applications that retrieve accurate information, reduce hallucinations, and scale to enterprise workloads, RAG Mastery is your complete guide.…

Codice articolo 9798188979324

Titolo
RAG Mastery - Build Intelligent Search Systems : A Hands-On Guide to Retrieval-Augmented Generation with Python
Autore
Teli Publications
Editore
Amazon Digital Services LLC - Kdp Jul 2026
Anno di pubblicazione
2026
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 13
9798188979324
Peso dell'articolo
381 grammi
Dimensioni
229x152x15 mm
Serie
Libro 17 di 19: The AI Masterclass Series

AHA-BUCH GmbH

Einbeck, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 7 a 10 giorni lavorativiDa 5 a 7 giorni lavorativi
Primo articoloEUR 35,00EUR 45,00
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