{"product_id":"retrieval-augmented-generation-build-reliable-retrieval-augmented-generation-systems-for-llms-and-generative-ai-9798246815908","title":"Retrieval Augmented Generation: Build Reliable Retrieval-Augmented Generation Systems for LLMs and Generative AI","description":"\u003cp\u003e • Author(s): Husn Ara\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Natural Language Processing\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRetrieval-Augmented Generation: Build Reliable Retrieval-Augmented Generation Systems for LLMs and Generative AI\u003c\/b\u003e\u003cbr\u003eUnlock the full potential of \u003cb\u003eRetrieval-Augmented Generation (RAG)\u003c\/b\u003e with this authoritative, hands-on guide for engineers, AI professionals, and data scientists. \u003cb\u003eRetrieval-Augmented Generation\u003c\/b\u003e bridges the gap between \u003cb\u003elarge language models (LLMs)\u003c\/b\u003e and enterprise knowledge systems, teaching you how to design, implement, and optimize \u003cb\u003erobust, production-ready RAG pipelines\u003c\/b\u003e.\u003cbr\u003eInside this book, you'll master: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eRAG Fundamentals\u003c\/b\u003e: Understand why standalone LLMs are limited, how RAG enhances reasoning, and the evolution from IR + NLP to modern retrieval-augmented systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eRAG System Architecture\u003c\/b\u003e: Explore minimal and high-level pipelines, online\/offline components, and data\/control flow engineering.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEmbeddings \u0026amp; Vector Databases\u003c\/b\u003e: Learn dense vs sparse embeddings, embedding drift, ANN algorithms, hybrid search, and large-scale vector indexing.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eRetrieval Quality Engineering\u003c\/b\u003e: Implement similarity metrics, top-K selection, reranking with cross-encoders, and handle retrieval failures.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDocument Ingestion Pipelines\u003c\/b\u003e: Design batch, streaming, and hybrid ingestion; handle PDFs, tables, HTML; and implement chunking strategies with overlap and context awareness.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eData Quality \u0026amp; Versioning\u003c\/b\u003e: Apply cleaning, normalization, deduplication, versioning, rollbacks, and audit strategies for enterprise-grade reliability.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eQuery Processing \u0026amp; Intelligence\u003c\/b\u003e: Master query classification, rewriting, multi-query retrieval, and self-querying RAG systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAdvanced Retrieval Techniques\u003c\/b\u003e: Build hybrid search, temporal\/context-aware retrieval, and multi-hop systems for real-world applications.\u003c\/li\u003e\n\u003c\/ul\u003eThis book is packed with \u003cb\u003ePython code examples, architecture diagrams, and practical guidance\u003c\/b\u003e, so you can implement systems confidently while avoiding common production pitfalls.\u003cbr\u003e\u003cb\u003eCase Studies Included\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eLarge-Scale Vector Search\u003c\/b\u003e - industrial vector database deployment and performance optimization.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEnterprise Document Ingestion\u003c\/b\u003e - handling multi-format documents at scale.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSearch-Driven RAG at Scale\u003c\/b\u003e - hybrid search and multi-hop retrieval in production.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eRAG Retrieval Failures\u003c\/b\u003e - diagnosis and mitigation of low recall\/high hallucination scenarios.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eKnowledge Base Versioning\u003c\/b\u003e - version control and rollback in live systems.\u003c\/li\u003e\n\u003c\/ul\u003eWhether you're building \u003cb\u003eenterprise search, AI assistants, or knowledge-grounded LLM applications\u003c\/b\u003e, \u003cb\u003eRAG in Practice\u003c\/b\u003e provides the step-by-step blueprint to engineer \u003cb\u003ehigh-performance, reliable, and scalable knowledge-augmented AI systems\u003c\/b\u003e.","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47593973219479,"sku":"9798246815908","price":2114.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798246815908.webp?v=1774984195","url":"https:\/\/atlanticbooks.com\/products\/retrieval-augmented-generation-build-reliable-retrieval-augmented-generation-systems-for-llms-and-generative-ai-9798246815908","provider":"Atlantic Books","version":"1.0","type":"link"}