Hybrid RAG Workflows: Knowledge Graphs + n8n + GPT for Reliable Automations
Language: English
Published by Independently published, 2025
- Softcover
- Used

Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
AbeBooks seller since April 6, 2009
Condition: Used - As new
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- Title
- Hybrid RAG Workflows: Knowledge Graphs + n8n + GPT for Reliable Automations
- Author
- Nexon, Hawke
- Publisher
- Independently published
- Publication year
- 2025
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798294377762
Tired of AI hallucinations undermining your automation efforts? Discover the definitive guide to building truly reliable AI automation with Hybrid RAG workflows.
This groundbreaking book empowers you to move beyond basic RAG, leveraging the precision of Knowledge Graphs alongside the power of LLMs like GPT and the orchestration capabilities of n8n. Say goodbye to unpredictable AI outputs and hello to factually grounded, trustworthy automations.
Who This Book Is For:
-
AI Developers and Data Scientists seeking to build robust, production-ready RAG systems.
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Automation Engineers and MLOps Professionals looking to integrate advanced AI into their workflows.
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Anyone frustrated by LLM inaccuracies and seeking a proven path to reliable AI.
What You'll Achieve:
-
Eliminate Hallucinations: Ground your LLM responses in verifiable facts from Knowledge Graphs.
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Master Hybrid RAG: Seamlessly combine vector search with structured KG queries.
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Orchestrate Complex AI: Design and implement end-to-end AI automation workflows using n8n.
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Build Intelligent Bots: Create accurate Q&A systems and fact-validated content generation.
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Ensure Data Governance: Learn best practices for security, privacy, and ethical AI in your deployments.
Hawke Nexon provides clear, step-by-step guidance and practical code examples, making complex Hybrid RAG workflows accessible and actionable. Transform your AI projects from experimental to enterprise-grade.
"Synopsis" may belong to another edition of this title.
GreatBookPrices
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