Isbn: 9798263548551 - hybrid rag foundations: knowledge graphs, n8n & gpt for reliable automations: a practical guide to building trustworthy ai workflows: 1 (intelligent automation with hybrid rag) (9 resultados)

Condición: New.

Condición: As New. Unread book in perfect condition.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: new. Paperback. Hybrid RAG Foundations equips practitioners with the practical know-how to build AI automations that are not only fluent, but verifiable. From the fundamentals of Retrieval-Augmented Generation to the discipline of knowledge-graph modeling, this book walks beginners and intermediate engineers through step-by-step patterns for creating trustworthy workflows using knowledge graphs, n8n orchestration, and GPT-class models.You'll learn how to: design RAG pipelines that reduce hallucination and factual drift;combine vector search with structured KGs for deterministic answers;orchestrate ingestion, retrieval, and LLM synthesis in n8n;validate outputs with citation checks, confidence scoring, and human-in-the-loop gates.Packed with engineering blueprints, testing strategies, and real-world examples (customer support, compliance, research assistants), this practical guide focuses on reliability and governance as first principles-not afterthoughts. Whether you're building your first automation or hardening production systems, this book gives you the patterns, templates, and operational checklists to ship AI workflows that scale-and that stakeholders can trust. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Hybrid RAG Foundations equips practitioners with the practical know-how to build AI automations that are not only fluent, but verifiable. From the fundamentals of Retrieval-Augmented Generation to the discipline of knowledge-graph modeling, this book walks beginners and intermediate engineers through step-by-step patterns for creating trustworthy workflows using knowledge graphs, n8n orchestration, and GPT-class models.You'll learn how to: design RAG pipelines that reduce hallucination and factual drift;combine vector search with structured KGs for deterministic answers;orchestrate ingestion, retrieval, and LLM synthesis in n8n;validate outputs with citation checks, confidence scoring, and human-in-the-loop gates.Packed with engineering blueprints, testing strategies, and real-world examples (customer support, compliance, research assistants), this practical guide focuses on reliability and governance as first principles-not afterthoughts. Whether you're building your first automation or hardening production systems, this book gives you the patterns, templates, and operational checklists to ship AI workflows that scale-and that stakeholders can trust. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…