{"product_id":"building-efficient-pipelines-for-llm-workflows-in-agentic-rag-streamline-your-ai-systems-for-maximum-performance-and-reliability-9798270015329","title":"Building Efficient Pipelines for LLM Workflows in Agentic RAG: Streamline Your AI Systems for Maximum Performance and Reliability","description":"\u003cp\u003e • Author(s): Adams Anderson\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Expert Systems\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eWhat if the real breakthrough in artificial intelligence isn't a bigger model-but a smarter pipeline?\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003eThis book is your complete guide to designing, optimizing, and scaling agentic Retrieval-Augmented Generation (RAG) systems-the architecture that transforms large language models from passive text generators into active, reliable problem-solvers.\u003cbr\u003eIn Building Efficient Pipelines for LLM Workflows in Agentic RAG, you'll learn how to construct intelligent pipelines that combine retrieval, reasoning, planning, and verification into one cohesive system. This is not theory-it's a step-by-step framework for building adaptive, production-grade AI workflows that are fast, grounded, and self-correcting.\u003cbr\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHow to design multi-stage agentic pipelines that decompose tasks, verify answers, and handle complex reasoning.\u003c\/li\u003e\n\u003cli\u003eProven methods for integrating vector search, graph retrieval, and hybrid retrieval strategies.\u003c\/li\u003e\n\u003cli\u003eReal implementation examples using LangChain, LangGraph, and LlamaIndex.\u003c\/li\u003e\n\u003cli\u003eHow to build observability and CI\/CD into your AI stack for consistency and control.\u003c\/li\u003e\n\u003cli\u003eStrategies for cost optimization, latency reduction, and self-healing AI pipelines.\u003c\/li\u003e\n\u003cli\u003eDomain-specific workflows for enterprise search, healthcare, legal, and technical research use cases.\u003c\/li\u003e\n\u003c\/ul\u003eA look ahead at post-RAG architectures, including neural-symbolic reasoning, long-context models, and autonomous agent ecosystems.\u003cbr\u003eWhether you're optimizing internal LLM pipelines or deploying full-stack agentic systems, this guide gives you the tools to move beyond demos and prototypes-toward AI infrastructure that's grounded, reliable, and ready for production.\u003cbr\u003e\u003ci\u003e\u003cb\u003eIf you're ready to transform your LLM workflows into efficient, adaptive pipelines that think before they generate-this book will show you how.\u003c\/b\u003e\u003c\/i\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47779137159319,"sku":"9798270015329","price":4076.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798270015329.webp?v=1778033671","url":"https:\/\/atlanticbooks.com\/products\/building-efficient-pipelines-for-llm-workflows-in-agentic-rag-streamline-your-ai-systems-for-maximum-performance-and-reliability-9798270015329","provider":"Atlantic Books","version":"1.0","type":"link"}