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Building LLM Agents with RAG, Knowledge Graphs & Reflection by Mira S. Devlin

Building LLM Agents with RAG, Knowledge Graphs & Reflection by Mira S. Devlin

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Building LLM Agents with RAG, Knowledge Graphs & Reflection by Mira S. Devlin

Basic LLM apps are everywhere. But the ones that actually solve hard problems — that remember context, reason over structured knowledge, and improve from their own outputs — those are built differently. Building LLM Agents with RAG, Knowledge Graphs & Reflection by Mira S. Devlin is your practical guide to building exactly those kinds of intelligent, context-aware, self-improving AI agents. This book goes far beyond simple retrieval and gives you the architectural thinking to build agents that genuinely reason.

Devlin covers the full stack — from RAG pipelines and knowledge graph integration to reflection loops, dynamic prompting, and multi-agent collaboration — with clear explanations and implementation-ready guidance. If you've been building LLM apps that feel limited and brittle, this book is your upgrade path. The difference between a good AI demo and a genuinely intelligent system is the depth behind it. This book gives you that depth.

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📚 Premium Quality Books — Printed on 80 GSM Cornofuly paper, eye-friendly pages, and stitched binding for durability.
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