[Farid-Khan]

English | 2026 | ISBN: 163343608X | 394 pages | True PDF | 36.21 MB

Catergory: Computer Technology, Nonfiction

Effectively integrate AI using Large Language Models (LLMs) into your web apps and sites.
Build AI into Your 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 into Your 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 into Your 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.

About the book
Fully illustrated with stunning visuals and diagrams, Build AI into Your Web Apps makes it easy to integrate AI features into your applications. The book introduces you to the instantly-intuitive Vercel AI SDK and LangChain.js-cutting-edge tools for building AI into web applications. You'll create multiple working AI apps, including an interactive ChatGPT-style chatbot with streaming functionality, an AI interview assistant that can transcribe voices, and a corporate knowledge management system that utilizes RAG. Plus, you'll maintain full control over costs, performance, and user experience for your AI apps.

About the reader
For React or Next.js developers. No Python or AI knowledge required!

About the author
Theo Despoudis is a Senior Staff Software Engineer at WP Engine, where he is part of the engineering team building the next generation of AI-Powered Search products and services for thousands of customers using WordPress. He is also responsible for supporting Headless WordPress solutions on top of Next.js and React.

Contents of Download:

? Build AI Enhanced WEB Apps.pdf (Theo Despoudis) (2026) (36.21 MB)

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⭐️ Build AI Into Your Web Apps Classic Methods With Modern AI Tools ✅ (37.22 MB)
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