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Harness the power of Retrieval-Augmented Generation (RAG) and JavaScript to build next-generation AI-powered web applications! This comprehensive, hands-on guide takes you deep into the intersection of web development and generative AI, showing you how to integrate Large Language Models (LLMs) with real-time knowledge retrieval using LlamaIndex, LangChain, and vector databases. Whether you're a JavaScript developer looking to integrate AI into web apps or an AI enthusiast eager to explore RAG-driven architectures, this book is your ultimate resource. What You'll Learn: * Master RAG principles to supercharge AI-driven search, chatbots, and dynamic knowledge applications. * Use JavaScript with LlamaIndex to build scalable AI-powered applications. * Integrate vector databases for fast, accurate, and real-time AI responses. * Develop end-to-end LLM applications with LangChain, LangGraph, and Crewai. * Leverage LLM-powered agents to automate workflows with multi-agent AI systems. * Deploy and scale AI applications using serverless platforms like Vercel, Render, and Fly.io. Who This Book Is For: Perfect for JavaScript developers, AI engineers, and data-driven web app builders, this book blends theory with practical projects, walking you through everything from prompt engineering to deploying LLM-enhanced web applications. Why This Book? AI-powered applications are redefining web development, and JavaScript remains the world's most-used programming language. This book bridges the gap between traditional web applications and next-gen AI, providing practical, real-world use cases that prepare you for the future of AI-driven development. Whether you're building a chatbot, a RAG-powered search engine, or multi-agent AI systems, JavaScript RAG Web Apps with LlamaIndex gives you the technical depth and hands-on experience needed to master the next era of AI-driven web development.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.