{"product_id":"knowledge-graphs-and-llms-in-action-9781633439894","title":"Knowledge Graphs and Llms in Action","description":"\u003cp\u003e • Author(s): Alessandro Negro | Vlastimil Kus | Giuseppe Futia\u003cbr\u003e • Publisher: Manning Publications\u003cbr\u003e • Publisher Imprint: Manning Publications\u003cbr\u003e • BISAC: Data Science - Machine Learning\u003c\/p\u003e\u003cp\u003e\u003cb\u003eCombine knowledge graphs with large language models to deliver powerful, reliable, and explainable AI solutions.\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eKnowledge graphs model relationships between the objects, events, situations, and concepts in your domain so you can readily identify important patterns in your own data and make better decisions. Paired up with large language models, they promise huge potential for working with structured and unstructured enterprise data, building recommendation systems, developing fraud detection mechanisms, delivering customer service chatbots, or more. This book provides tools and techniques for efficiently organizing data, modeling a knowledge graph, and incorporating KGs into the functioning of LLMs--and vice versa. \u003cp\u003e\u003c\/p\u003eIn \u003ci\u003eKnowledge Graphs and LLMs in Action\u003c\/i\u003e you will learn how to: \u003cp\u003e\u003c\/p\u003e - Model knowledge graphs with an iterative top-down approach based in business needs\u003cbr\u003e - Create a knowledge graph starting from ontologies, taxonomies, and structured data\u003cbr\u003e - Build knowledge graphs from unstructured data sources using LLMs\u003cbr\u003e - Use machine learning algorithms to complete your graphs and derive insights from it\u003cbr\u003e - Reason on the knowledge graph and build KG-powered RAG systems for LLMs \u003cp\u003e\u003c\/p\u003e In \u003ci\u003eKnowledge Graphs and LLMs in Action\u003c\/i\u003e, you'll discover the theory of knowledge graphs then put them into practice with LLMs to build working intelligence systems. You'll learn to create KGs from first principles, go hands-on to develop advisor applications for real-world domains like healthcare and finance, build retrieval augmented generation for LLMs, and more. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the technology\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Using knowledge graphs with LLMs reduces hallucinations, enables explainable outputs, and supports better reasoning. By naturally encoding the relationships in your data, knowledge graphs help create AI systems that are more reliable and accurate, even for models that have limited domain knowledge. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003ci\u003eKnowledge Graphs and LLMs in Action\u003c\/i\u003e shows you how to introduce knowledge graphs constructed from structured and unstructured sources into LLM-powered applications and RAG pipelines. Real-world case studies for domain-specific applications--from healthcare to financial crime detection--illustrate how this powerful pairing works in practice. You'll especially appreciate the expert insights on knowledge representation and reasoning strategies. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eWhat's inside\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e - Design knowledge graphs for real-world needs\u003cbr\u003e - Build KGs from structured and unstructured data\u003cbr\u003e - Apply machine learning to enrich, complete, and analyze graphs\u003cbr\u003e - Pair knowledge graphs with RAG systems \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e For ML and AI engineers, data scientists, and data engineers. Examples in Python. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAlessandro Negro\u003c\/b\u003e is Chief Scientist at GraphAware and author of \u003ci\u003eGraph-Powered Machine Learning\u003c\/i\u003e. \u003cb\u003eVlastimil Kus\u003c\/b\u003e, \u003cb\u003eGiuseppe Futia\u003c\/b\u003e, and \u003cb\u003eFabio Montagna\u003c\/b\u003e are seasoned ML and AI professionals specializing in Knowledge Graphs, Large Language Models, and Graph Neural Networks. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eTable of Contents\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Part 1\u003cbr\u003e 1 Knowledge graphs and LLMs: A killer combination\u003cbr\u003e 2 Intelligent systems: A hybrid approach\u003cbr\u003e Part 2\u003cbr\u003e 3 Create your first knowledge graph from ontologies\u003cbr\u003e 4 From simple networks to multisource integration\u003cbr\u003e Part 3\u003cbr\u003e 5 Extracting domain-specific knowledge from unstructured data\u003cbr\u003e 6 Building knowledge graphs with large language models\u003cbr\u003e 7 Named entity disambiguation\u003cbr\u003e 8 NED with open LLMs and domain ontologies\u003cbr\u003e Part 4\u003cbr\u003e 9 Machine learning on knowledge graphs: A primer approach\u003cbr\u003e 10 Graph feature engineering: Manual and semiautomated approaches\u003cbr\u003e 11 Graph representation learning and graph neural networks\u003cbr\u003e 12 Node classification and link prediction with GNNs\u003cbr\u003e Part 5\u003cbr\u003e 13 Knowledge graph-powered retrieval-augmented generation\u003cbr\u003e 14 Asking a KG questions with natural language\u003cbr\u003e 15 Building a QA agent with LangGraph \u003cp\u003e\u003c\/p\u003e Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46357609414807,"sku":"9781633439894","price":5629.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781633439894.webp?v=1768735973","url":"https:\/\/atlanticbooks.com\/products\/knowledge-graphs-and-llms-in-action-9781633439894","provider":"Atlantic Books","version":"1.0","type":"link"}