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Mastering Independent AI Agents with Knowledge Graphs, RAG and LLMs: A Complete Guide to Building, Scaling and Trustworthy development of modern intel
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ISBN13: 9798291959947
Publisher: Independently Published
Published: Jul 10 2025
Pages: 396
Weight: 2.01
Height: 0.81 Width: 8.50 Depth: 11.00
Language: English
Publisher: Independently Published
Published: Jul 10 2025
Pages: 396
Weight: 2.01
Height: 0.81 Width: 8.50 Depth: 11.00
Language: English
Mastering Independent AI Agents with Knowledge Graphs, RAG, and LLMs: A Complete Guide to Building, Scaling, and Trustworthy Deployment of Modern Intelligent Systems
Unlock the future of AI-today.
Are you ready to go beyond chatbots and prompt tinkering? Dive into the definitive guide on building intelligent AI agents using cutting-edge tools like Large Language Models (LLMs), Knowledge Graphs, and Retrieval-Augmented Generation (RAG).
Unlock the future of AI-today.
Are you ready to go beyond chatbots and prompt tinkering? Dive into the definitive guide on building intelligent AI agents using cutting-edge tools like Large Language Models (LLMs), Knowledge Graphs, and Retrieval-Augmented Generation (RAG).
Whether you're a developer, ML engineer, researcher, or technical product manager, this book will teach you how to build reliable, scalable, and intelligent AI systems that can reason, learn, and act with minimal human supervision. What You'll Learn
- Foundations of intelligent Agents
- Understand what separates basic assistants from truly autonomous AI systems. - Master Large Language Models (LLMs)
Learn how to apply, fine-tune, and safely deploy models like GPT-4, Claude, LLaMA, and more. - Build Smart with Knowledge Graphs
Use graph-based reasoning and ontology design to structure agent knowledge. - Engineer Powerful RAG Pipelines
Integrate vector search and live retrieval for dynamic, factual responses. - Design Multi-Agent Systems
Explore collaboration, coordination, and swarm-based intelligence. - Secure and Scale Your Agents
Apply MLOps, DevSecOps, latency tuning, and prompt-injection defenses. - Ethics, Regulation, and Future Trends
Build trustworthy, transparent systems ready for real-world deployment.
Inside You'll Find:
- Step-by-step code walkthroughs (Python, TypeScript, etc.)
- ASCII flowcharts and diagrams (Kindle-friendly, image-free format)
- Real-world case studies from finance, healthcare, and customer support
- Exercises and build-it-yourself projects at the end of every chapter
- Cheat sheets, prompt templates, and open-source tools in the appendices Perfect For:
- AI Developers and ML Engineers
- Technical Product Managers and Software Architects
- Researchers and Graduate Students in AI/NLP
- Builders using LangChain, Haystack, Neo4j, or Hugging Face Keywords for Discovery:
Intelligent AI, Knowledge Graphs, RAG, LLMs, LangChain, AI Agents, Prompt Engineering, Neo4j, GPT-4, OpenAI, Fine-Tuning, Multi-Agent Systems, MLOps, DevOps for AI, AI Ethics, Generative AI, Real-World AI Applications Start building the next generation of AI.
Whether you're building a startup AI product or integrating autonomous reasoning into enterprise systems, Mastering intelligent AI Agents will be your technical blueprint to architect, deploy, and future-proof AI systems that think and act.
Grab your copy now - and lead the frontier of intelligent automation.
- Foundations of intelligent Agents
- Understand what separates basic assistants from truly autonomous AI systems. - Master Large Language Models (LLMs)
Learn how to apply, fine-tune, and safely deploy models like GPT-4, Claude, LLaMA, and more. - Build Smart with Knowledge Graphs
Use graph-based reasoning and ontology design to structure agent knowledge. - Engineer Powerful RAG Pipelines
Integrate vector search and live retrieval for dynamic, factual responses. - Design Multi-Agent Systems
Explore collaboration, coordination, and swarm-based intelligence. - Secure and Scale Your Agents
Apply MLOps, DevSecOps, latency tuning, and prompt-injection defenses. - Ethics, Regulation, and Future Trends
Build trustworthy, transparent systems ready for real-world deployment.
Inside You'll Find:
- Step-by-step code walkthroughs (Python, TypeScript, etc.)
- ASCII flowcharts and diagrams (Kindle-friendly, image-free format)
- Real-world case studies from finance, healthcare, and customer support
- Exercises and build-it-yourself projects at the end of every chapter
- Cheat sheets, prompt templates, and open-source tools in the appendices Perfect For:
- AI Developers and ML Engineers
- Technical Product Managers and Software Architects
- Researchers and Graduate Students in AI/NLP
- Builders using LangChain, Haystack, Neo4j, or Hugging Face Keywords for Discovery:
Intelligent AI, Knowledge Graphs, RAG, LLMs, LangChain, AI Agents, Prompt Engineering, Neo4j, GPT-4, OpenAI, Fine-Tuning, Multi-Agent Systems, MLOps, DevOps for AI, AI Ethics, Generative AI, Real-World AI Applications Start building the next generation of AI.
Whether you're building a startup AI product or integrating autonomous reasoning into enterprise systems, Mastering intelligent AI Agents will be your technical blueprint to architect, deploy, and future-proof AI systems that think and act.
Grab your copy now - and lead the frontier of intelligent automation.
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