SKU/Artículo: AMZ-B0G3QDZY5J
MASTERING GRAPH-RAG FOUNDATIONS: UNLOCKING RETRIEVAL-AUGMENTED GENERATION WITH KNOWLEDGE GRAPHS, VECTOR SEARCH & LLMS
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Paperback
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En stock
En stock
Peso con empaque:
0.21 kg
0.21 kg
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Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Unlock the full power of Retrieval-Augmented Generation (RAG) with knowledge graphs, vector search, and large language models (LLMs) in this definitive guide for AI engineers, developers, and data scientists.Mastering Graph-RAG Foundations takes you from conceptual understanding to practical mastery, offering a structured, hands-on approach to designing AI systems that can intelligently retrieve, reason, and generate knowledge. Whether you’re building advanced chatbots, knowledge-intensive agents, or production-grade AI workflows, this book equips you with the tools and frameworks you need to succeed.Inside, you’ll discover:How knowledge graphs enhance RAG workflows for accurate and context-aware AI outputs.Step-by-step guidance on vector search, embeddings, and LLM integration.Hands-on Python and LangGraph examples to implement real-world RAG systems.Practical insights into designing scalable, maintainable AI architectures.Expert commentary, best practices, and caveats from a senior AI engineer’s perspective.Designed for advanced learners and technical professionals, this book bridges the gap between theory and practice. Start your journey to mastering Graph-RAG today and unlock new levels of AI system intelligence and reliability.
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AR$54.027
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AR$27.708
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