Building AI Agents with LLMs, RAG, and Knowledge Graphs

Name: Building AI Agents with LLMs, RAG, and Knowledge Graphs
Brand: Packt Publishing
SKU: 07089269

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7463827Building AI Agents with LLMs, RAG, and Knowledge Graphshttps://www.gandhi.com.mx/building-ai-agents-with-llms--rag--and-knowledge-graphs-9781835080382/phttps://gandhi.vtexassets.com/arquivos/ids/7062240/image.jpg?v=638871657074170000886985MXNPackt PublishingInStock/Ebooks/7089269Building AI Agents with LLMs, RAG, and Knowledge Graphs886985https://www.gandhi.com.mx/building-ai-agents-with-llms--rag--and-knowledge-graphs-9781835080382/phttps://gandhi.vtexassets.com/arquivos/ids/7062240/image.jpg?v=638871657074170000InStockMXN99999DIEbook20259781835080382_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9781835080382_<p><b>From LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs, master the skills to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously</b></p><h2>Key Features</h2><ul><li>Implementing Retrieval-Augmented Generation and Knowledge Graphs for Advanced Problem-Solving</li><li>Harness RAG, Knowledge Graphs, and LangChain to Create Real-World Intelligent Systems</li><li>Integrating Large Language Models, Graph Databases, and Tool-Use for Next-Gen AI Solutions</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h2>Book Description</h2>This AI Agents book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. It focuses on Retrieval-Augmented Generation (RAG), knowledge graphs, and agent-based architectures, teaching you to harness these techniques for truly intelligent behavior. By blending large language models with up-to-date information retrieval and structured knowledge, youll create AI agents capable of deeper reasoning and more reliable problem-solving. Inside, youll find a practical roadmap from concept to implementation. Discover how to connect language models with external data via RAG pipelines for factual accuracy, and how to incorporate knowledge graphs for context-rich reasoning. Youll build and orchestrate autonomous agents that combine planning, tool use, and knowledge retrieval to achieve complex goals. With concrete Python examples using popular libraries, along with real-world case studies, reinforce each concept and show how these techniques come together. You will use hands-on techniques and industrial applications. By the end, this book will equip you to build intelligent AI agents that reason, retrieve, and interact dynamically empowering you to deploy powerful AI solutions across industries.<h2>What you will learn</h2><ul><li>Design RAG pipelines to connect LLMs with external data.</li><li>Build and query knowledge graphs for structured context and factual grounding.</li><li>Develop AI agents that plan, reason, and use tools to complete tasks.</li><li>Integrate LLMs with external APIs and databases to incorporate live data.</li><li>Apply techniques to minimize hallucinations and ensure accurate outputs.</li><li>Orchestrate multiple agents to solve complex, multi-step problems.</li><li>Optimize prompts, memory, and context handling for long-running tasks.</li><li>Deploy and monitor AI agents in production environments.</li></ul><h2>Who this book is for</h2><p>If you are a data scientist or researcher who wants to learn how you can create and deploy an AI agent to solve limitless tasks, this book is for you. To get the most out of this book, you should have basic knowledge of Python and Gen AI. This book is also excellent for experienced data scientists who want to explore the state-of-the-art for LLM and LLM-based applications.</p>...(*_*)9781835080382_<p><b>Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously</b></p><h2>Key Features</h2><ul><li>Implement RAG and knowledge graphs for advanced problem-solving</li><li>Leverage innovative approaches like LangChain to create real-world intelligent systems</li><li>Integrate large language models, graph databases, and tool use for next-gen AI solutions</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h2>Book Description</h2>This AI agents book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. Authored by AI specialists with deep expertise in drug discovery and systems optimization, this guide empowers you to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior. By combining large language models (LLMs) with up-to-date information retrieval and structured knowledge, youll create AI agents capable of deeper reasoning and more reliable problem-solving. Inside, youll find a practical roadmap from concept to implementation. Youll discover how to connect language models with external data via RAG pipelines for increasing factual accuracy and incorporate knowledge graphs for context-rich reasoning. The chapters will help you build and orchestrate autonomous agents that combine planning, tool use, and knowledge retrieval to achieve complex goals. Concrete Python examples built on popular libraries, along with real-world case studies, reinforce each concept and show you how these techniques come together. By the end of this book, youll be well-equipped to build intelligent AI agents that reason, retrieve, and interact dynamically, empowering you to deploy powerful AI solutions across industries.<h2>What you will learn</h2><ul><li>Learn how LLMs work, their structure, uses, and limits, and design RAG pipelines to link them to external data</li><li>Build and query knowledge graphs for structured context and factual grounding</li><li>Develop AI agents that plan, reason, and use tools to complete tasks</li><li>Integrate LLMs with external APIs and databases to incorporate live data</li><li>Apply techniques to minimize hallucinations and ensure accurate outputs</li><li>Orchestrate multiple agents to solve complex, multi-step problems</li><li>Optimize prompts, memory, and context handling for long-running tasks</li><li>Deploy and monitor AI agents in production environments</li></ul><h2>Who this book is for</h2><p>If you are a data scientist or researcher who wants to learn how to create and deploy an AI agent to solve limitless tasks, this book is for you. To get the most out of this book, you should have basic knowledge of Python and Gen AI. This book is also excellent for experienced data scientists who want to explore state-of-the-art developments in LLM and LLM-based applications.</p>...9781835080382_Packt Publishinglibro_electonico_9781835080382_9781835080382Gabriele IuculanoInglésMéxico2025-07-11T00:00:00+00:00https://getbook.kobo.com/koboid-prod-public/packt-epub-8ae6a35d-cbfc-4a74-b4d5-ba06132fda9b.epub2025-07-11T00:00:00+00:00Packt Publishing