Building LLM Agents with RAG, Knowledge Graphs, and Reflection A Practical Guide to Building Intelligent, Context-Aware, and… (Mira S. Devlin)（Z-Library）

Author： Mira S. Devlin

Transform Large Language Models into Intelligent Agents That Reason, Retrieve, and Reflect Large language models can generate text-but intelligence requires more than words. True intelligence demands reasoning, memory, and reflection. It requires systems that can connect what they know, retrieve what they need, and learn from what they produce. In Building LLM Agents with RAG, Knowledge Graphs & Reflection, AI systems architect Mira S. Devlin guides you beyond the surface of generative AI into the world of agentic intelligence-where LLMs evolve from reactive tools into dynamic collaborators capable of grounding responses in truth, understanding context, and improving over time. This book doesn't just explain concepts-it helps you build them. Each chapter blends theory, diagrams, and applied examples to show how retrieval, reasoning, and reflection interact inside modern AI agents. Whether you're constructing a self-updating research assistant or a multi-agent workflow, you'll gain a deep understanding of how today's most advanced cognitive systems are designed.