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Mastering Knowledge Graphs for LLMs: Building Smarter RAG Pipelines What if your AI systems could think smarter, faster, and more contextually? This groundbreaking book explores the transformative power of knowledge graphs in shaping next-generation Retrieval-Augmented Generation (RAG) pipelines. Bridging the gap between structured reasoning and generative AI, it teaches how knowledge graphs elevate large language models (LLMs) by delivering precise, context-aware, and factually grounded responses. What you'll discover: * How to design and build robust knowledge graphs tailored for AI applications. * Cutting-edge techniques to integrate graphs with LLMs in RAG pipelines. * Real-world applications in domains like healthcare, finance, and customer service. * Solutions to address key challenges like scaling, privacy, and reducing LLM hallucinations. * Emerging trends and research opportunities that will shape the future of AI and knowledge graphs. Packed with actionable insights, practical advice, and clear explanations, this book is your ultimate guide to mastering the synergy between knowledge graphs and LLMs. Ready to revolutionize your AI systems? Order this essential resource and start building smarter RAG pipelines today!
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.