Advanced RAG with AI Agents: A Practical Guide to Building Retrieval-Augmented Agents with LangChain, Python, and ReAct for Context-Aware AI Workflows
Unlock the Future of AI Development with Retrieval-Augmented Generation and Agentic Workflows
Are you ready to build next-generation AI agents that think, reason, and retrieve with precision? Whether you're an ML engineer, backend developer, or AI enthusiast, this hands-on guide will equip you with everything you need to build production-ready, context-aware AI agents using cutting-edge tools like LangChain, ReAct, FAISS, and Python.
Inside this groundbreaking guide, you’ll learn how to:
• Master Retrieval-Augmented Generation (RAG) from first principles
• Implement intelligent agents using LangChain and the ReAct framework
• Build scalable vector stores with Chroma and FAISS
• Create multi-agent systems that collaborate and reason across documents
• Add memory, personalization, and multimodal inputs using CLIP and Hugging Face
• Deploy real-world applications including code search agents, chatbots, and research assistants
• Containerize and scale your AI agents using FastAPI, Docker, AWS, and GCP
This book doesn’t just teach you how RAG works—it walks you through dozens of real-world projects, including:
• Building a document Q&A chatbot with retrieval + reasoning
• Automating literature reviews with arXiv and LangChain
• Deploying scalable RAG APIs using cloud platforms
Why This Book Is Different:
• 100% project-based with runnable Python examples
• SEO-aligned for 2025 AI trends: Agentic RAG, Multimodal Retrieval, LangChain, and ReAct
• No fluff, no theory dumps—just real tools, real agents, real results
• Text-based diagrams, flowcharts, and code walkthroughs
Whether you're building your first AI workflow or scaling your own intelligent assistant, Advanced RAG with AI Agents gives you the tools, mindset, and code to lead in the agentic AI revolution.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
GRATIS per la spedizione in U.S.A.
Destinazione, tempi e costiDa: California Books, Miami, FL, U.S.A.
Condizione: New. Print on Demand. Codice articolo I-9798291411308
Quantità: Più di 20 disponibili
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798291411308
Quantità: Più di 20 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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. Codice articolo L0-9798291411308
Quantità: Più di 20 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. Advanced RAG with AI Agents: A Practical Guide to Building Retrieval-Augmented Agents with LangChain, Python, and ReAct for Context-Aware AI WorkflowsUnlock the Future of AI Development with Retrieval-Augmented Generation and Agentic WorkflowsAre you ready to build next-generation AI agents that think, reason, and retrieve with precision? Whether you're an ML engineer, backend developer, or AI enthusiast, this hands-on guide will equip you with everything you need to build production-ready, context-aware AI agents using cutting-edge tools like LangChain, ReAct, FAISS, and Python.Inside this groundbreaking guide, you'll learn how to: - Master Retrieval-Augmented Generation (RAG) from first principles- Implement intelligent agents using LangChain and the ReAct framework- Build scalable vector stores with Chroma and FAISS- Create multi-agent systems that collaborate and reason across documents- Add memory, personalization, and multimodal inputs using CLIP and Hugging Face- Deploy real-world applications including code search agents, chatbots, and research assistants- Containerize and scale your AI agents using FastAPI, Docker, AWS, and GCPThis book doesn't just teach you how RAG works-it walks you through dozens of real-world projects, including: - Building a document Q&A chatbot with retrieval + reasoning- Automating literature reviews with arXiv and LangChain- Deploying scalable RAG APIs using cloud platformsWhy This Book Is Different: - 100% project-based with runnable Python examples- SEO-aligned for 2025 AI trends: Agentic RAG, Multimodal Retrieval, LangChain, and ReAct- No fluff, no theory dumps-just real tools, real agents, real results- Text-based diagrams, flowcharts, and code walkthroughsWhether you're building your first AI workflow or scaling your own intelligent assistant, Advanced RAG with AI Agents gives you the tools, mindset, and code to lead in the agentic AI revolution. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798291411308
Quantità: 1 disponibili
Da: Rarewaves.com UK, London, Regno Unito
Paperback. Condizione: New. Codice articolo LU-9798291411308
Quantità: Più di 20 disponibili