Effectively integrate AI using Large Language Models (LLMs) into your web apps and sites. Build AI-Enhanced Web Apps shows you step-by-step and example-by-example how to build sites and applications that take advantage of large language models (LLMs) like GPT, Claude, and Llama. Written especially for web developers comfortable with React or Next.js, this book introduces the tools and techniques you need to add sophisticated AI features like Retrieval Augmented Generation (RAG), document summarization, chatbots, and more to your web-based projects. In Build AI-Enhanced Web Apps you'll learn how to: Integrate AI models into React and Next.js applications Implement streaming responses and real-time AI interactions Manage conversation history and context in chat applications Implement LangChain.js for complex AI workflows and reasoning Build a web application for summarizing documents using LangChain.js Utilize Retrieval-Augmented Generation (RAG) systems for knowledge management Develop an AI-powered interview preparation system with voice feedback Build AI-Enhanced Web Apps guides you through AI development using only JavaScript and other common web dev skills–no Python or Machine Learning experience required. You’ll learn by working with full-scale AI projects that solve actual business problems. You’ll soon be delivering user-friendly, efficient interfaces that make the absolute best use of AI tech. what's inside Build AI features using a professional stack Ship production-ready features Learn from concrete projects about the reader For web developers familiar with JavaScript and React. about the author Theo Despoudis is a Senior Engineer at WP Engine specializing in AI-powered search and headless WordPress. He is an expert in integrating LLMs, RAG, and Vercel AI SDK into React and Next.js apps.
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