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Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: new. Paperback. Autonomous AI with MCP and RAG: Principles, Architecture, and Building BlocksUnlock the future of AI systems with Autonomous AI with MCP and RAG-a practical, hands-on guide for developers, engineers, and AI architects who want to design intelligent agents using cutting-edge technologies like Model-Context-Protocol (MCP) frameworks and Retrieval-Augmented Generation (RAG).This book is your complete blueprint for building real-world AI agents that think, plan, and act independently. Learn how to architect and deploy agentic systems using LangChain, OpenAI, AutoGen, CrewAI, ChromaDB, and LlamaIndex. Whether you're developing advanced LLM-based assistants, RAG-enhanced search agents, or collaborative multi-agent workflows, this guide offers clear explanations, code-rich examples, and step-by-step tutorials aligned with 2025's most current practices.What You'll Learn: The fundamentals of autonomous agents and multi-agent systemsHow to design core agent loops with LangChain and OpenAIIntegrating RAG with vector databases like ChromaDB and WeaviateBuilding and deploying FastAPI-based agent backends using DockerApplying ethical, auditable, and secure practices for AI operationsReal-world architecture diagrams, templates, and deployment patternsWhether you're a machine learning engineer, Python developer, startup builder, or enterprise architect, this book equips you with the tools and knowledge to create scalable, explainable, and production-ready AI systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: New.

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

Paperback. Condición: new. Paperback. Autonomous AI with MCP and RAG: Principles, Architecture, and Building BlocksUnlock the future of AI systems with Autonomous AI with MCP and RAG-a practical, hands-on guide for developers, engineers, and AI architects who want to design intelligent agents using cutting-edge technologies like Model-Context-Protocol (MCP) frameworks and Retrieval-Augmented Generation (RAG).This book is your complete blueprint for building real-world AI agents that think, plan, and act independently. Learn how to architect and deploy agentic systems using LangChain, OpenAI, AutoGen, CrewAI, ChromaDB, and LlamaIndex. Whether you're developing advanced LLM-based assistants, RAG-enhanced search agents, or collaborative multi-agent workflows, this guide offers clear explanations, code-rich examples, and step-by-step tutorials aligned with 2025's most current practices.What You'll Learn: The fundamentals of autonomous agents and multi-agent systemsHow to design core agent loops with LangChain and OpenAIIntegrating RAG with vector databases like ChromaDB and WeaviateBuilding and deploying FastAPI-based agent backends using DockerApplying ethical, auditable, and secure practices for AI operationsReal-world architecture diagrams, templates, and deployment patternsWhether you're a machine learning engineer, Python developer, startup builder, or enterprise architect, this book equips you with the tools and knowledge to create scalable, explainable, and production-ready AI systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.