ISBN: 9798292092117 - graphrag in practice: harness knowledge graphs to build explainable, scalable, and enterprise-ready retrieval-augmented generation systems (7 risultati)

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Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. GraphRAG in Practice: Build Explainable, Scalable, and Enterprise-Ready Retrieval-Augmented Generation with Knowledge GraphsUnlock the next frontier of Retrieval-Augmented Generation (RAG) with GraphRAG-the most advanced, explainable, and regulation-ready approach to GenAI.This definitive guide explores how knowledge graphs, ontologies, and hybrid retrieval strategies are reshaping the future of large language models (LLMs). Unlike traditional vector-based RAG systems that struggle with explainability, traceability, and regulatory alignment, GraphRAG enables structured reasoning, transparent outputs, and semantic control-making it the gold standard for enterprise, healthcare, finance, legal, and government-grade AI applications.Whether you're a machine learning engineer, AI architect, NLP researcher, or enterprise technology leader, this book gives you the end-to-end blueprint to design, deploy, and govern GraphRAG systems that are powerful, safe, and future-proof.What You'll Learn: Strategic Advantages of GraphRAG: Understand the limitations of chunk-based RAG and why structured knowledge graphs outperform vectors in explainability and compliance.End-to-End Pipeline Design: Master ingestion, ontology modeling, triplet extraction, indexing, and graph-augmented prompting.Query Languages for Retrieval: Use Cypher, Gremlin, and GraphQL to drive dynamic, fine-grained subgraph retrieval with secure access controls.Hybrid Fusion Architectures: Learn when and how to combine vectors with graph paths using rerankers, retrieval routers, and memory-enhanced generation.Hallucination Control & Grounding: Engineer prompts with citations, fact-linking, and feedback-aware generation to ensure trustworthiness.Monitoring, CI/CD & AutoEval: Implement evaluation loops, cost tracking, drift detection, and version-controlled deployment workflows.Security & Compliance Ready: Align your GraphRAG pipelines with ISO 42001, EU AI Act, GDPR, and CCPA-with role-based access, redaction, and audit trails built-in.Enterprise Scaling Models: Deploy across teams, clouds, and regions with modular patterns, edge optimizations, and CoE frameworks.GraphRAG in Practice is the essential playbook for building the next generation of grounded, auditable, and mission-critical AI systems. Whether you're solving for hallucination, regulatory alignment, or scalable semantic retrieval, this book delivers battle-tested frameworks and field-ready guidance that no serious GenAI professional can afford to miss.Scroll up and get your copy now - and future-proof your AI systems with GraphRAG. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…