Erhältlich:
Nicht auf Lager
Buch (Softcover): Fachbuch
Retrieval-Augmented Generation (RAG)
The Complete Practical Guide to Building Smarter AI with Knowledge, Search, and Large Language Models
Verlag:
Independently Published Unsere-Artikel-Nr.: P36593032
EAN: 9798269815312
Erhältlich:
Nicht auf Lager
Zustellung: Di, 27.10.2026
Versand: Kostenlos
CHF 32.–
Beschreibung
Book Description. Unlock the power of Retrieval-Augmented Generation (RAG) - the groundbreaking fusion of knowledge, search, and large language models that's redefining the future of artificial intelligence. In an era where data and intelligence must work hand in hand, Retrieval-Augmented Generation (RAG). empowers AI systems to move beyond static memory and into dynamic reasoning. This comprehensive guide walks you through everything you need to master RAG - from core theory to real-world applications - helping you build smarter, context-aware, and more trustworthy AI solutions. What You'll Learn. Understand RAG from the ground up. - grasp how retrieval and generation work together to enhance large language models (LLMs). Master practical implementation. - set up your environment, build pipelines, and integrate tools like LangChain, LlamaIndex,. and Haystack. Optimize performance. - learn embedding strategies, hybrid retrieval techniques, and fine-tuning methods that boost precision and relevance. Explore advanced topics. - dive into multimodal RAG, AI agents, autonomous workflows, and cross-domain retrieval systems. Apply real-world use cases. - build healthcare, finance, education, and enterprise RAG systems using practical, step-by-step examples. Who This Book Is For. AI Developers & Engineers. - who want to build intelligent, knowledge-aware applications. Data Scientists & Researchers. - seeking to integrate retrieval-based reasoning into existing LLM systems. Students & Enthusiasts. - looking to learn RAG concepts from beginner to advanced levels with clarity and structure. Tech Innovators & Startups. - exploring how to leverage RAG for real-world business solutions and automation. Why This Book Stands Out. Comprehensive and practical:. Blends theory, architecture, and implementation - no fluff, just actionable insights. Text-based visuals only:. Clean, code-friendly formatting with flowcharts, tables, pseudocode, and examples. A content ready:. Structured for readability, discoverability, and engagement across print and digital platforms. SEO-optimized:. Includes essential keywords - Retrieval-Augmented Generation, LLMs, AI, Knowledge, Search, Machine Learning, Agents, LangChain, Hugging Face. - to enhance visibility on Amazon and Google. Inside You'll Find. 17 meticulously structured chapters covering everything from RAG foundations. to advanced workflows and automation. Dozens of hands-on examples. , step-by-step projects. , tips. , and best practices. A complete glossary, comparison tables, pseudocode templates. , and recommended research papers. to accelerate your mastery. Whether you're an AI researcher, developer, or simply passionate about the future of intelligent systems - this is your definitive guide to building smarter, retrieval-augmented AI.
Spezifikationen
Sprache
- Englisch
Autor
- Logan Trent Wilder
Erscheinungsjahr
- 2025
Format
- Buch (Softcover)
Anzahl Seiten
- 124