{ "item_title" : "Mastering Graph-Rag Foundations", "item_author" : [" Finn Cordex "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/827/585/9798275850673_b.jpg", "price_data" : { "retail_price" : "16.77", "online_price" : "16.77", "our_price" : "16.77", "club_price" : "16.77", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details