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LlamaIndex in Action: Building Production-Grade RAG Systems, AI Agents, and Data-Driven LLM Applications
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Publisher: Independently Published
Published: Jan 28 2026
Pages: 254
Weight: 0.98
Height: 0.53 Width: 7.00 Depth: 10.00
Language: English
LlamaIndex in Action is the definitive, hands-on guide to building production-grade Retrieval-Augmented Generation (RAG) systems, AI agents, and data-driven LLM applications that actually work in the real world.
Most books stop at demos. This one takes you all the way to production.
You'll learn how to transform large language models from clever chatbots into dependable systems that reason over your private data, internal documents, APIs, and live sources. Every chapter is written for professional developers who need accuracy, performance, and control-not magic tricks.
Starting from first principles, the book shows you how modern RAG really works, where LlamaIndex fits in the AI stack, and how to design systems that remain reliable as your data grows. You'll build ingestion pipelines, design indexing strategies that scale, and implement retrieval flows that deliver precise, grounded answers instead of hallucinations.
From there, you move into real-world architecture. You'll learn how to deploy LlamaIndex applications, optimize for latency and cost, secure sensitive data, and add observability so your systems can be trusted in production. Two full end-to-end projects walk you through building an enterprise knowledge assistant and an AI research agent, showing how agents, tools, long-running tasks, and result validation work together in practice.
This book is not about theory. Every section is practical, opinionated, and grounded in real engineering constraints. You'll learn:
How to build RAG pipelines that remain accurate as data changes
How to design chunking and indexing strategies that actually work
How to debug retrieval failures instead of guessing
How to deploy and monitor LlamaIndex systems in production
How to evolve your architecture as models and tools change
Whether you're building internal tools, customer-facing assistants, or complex AI agents, this book gives you a complete blueprint-from raw data to production system.
If you're serious about shipping LLM applications that people can trust, LlamaIndex in Action is your guide.
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