Building AI Applications on the Web

Theo Despoudis (Autor)

Buch | Hardcover

375 Seiten

2026
Manning Publications (Verlag)
978-1-63343-608-4 (ISBN)

Noch nicht erschienen (ca. Mai 2026)
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Your users ask for AI magic, but deadlines and budgets feel brutal. Machine learning tutorials overwhelm, filled with Python, servers, and expensive GPU advice. You already master React and Next.js, now leverage them to deliver intelligence. This book introduces JavaScript friendly tools that integrate AI without hidden complexity. Build chatbots, summarizers, and knowledge systems, all streaming responses in real time. Maintain full control over costs, latency, privacy, and the final user experience.

Vercel AI SDK setup: Create fast, streaming conversations that feel natural on every device.

LangChain.js pipelines: Chain retrieval, reasoning, and generation with clear, modular JavaScript functions.

Context management patterns: Preserve chat history to deliver consistent, helpful, brand-aligned answers.

RAG knowledge base: Provide cited responses from company documents, boosting trust and accuracy.

Voice interview assistant: Transcribe speech, generate feedback, and improve preparation with immediate insights.

Build AI into Your Web Apps by Senior Staff Engineer Theo Despoudis, teaches proven AI integration techniques using only JavaScript, React, and Next.js.

Follow three complete projects: a ChatGPT-style bot, a document summarizer, and a RAG corporate assistant. Each chapter combines diagrams, runnable notebooks, and step-by-step code to turn theory into deployable features.

Finish able to evaluate AI services, tune latency and spend, and explain design choices to stakeholders. Your next release ships smarter, faster, and under budget.

Perfect for React and Next.js developers who want practical AI features without a data-science detour.

Theo Despoudis is a Senior Staff Software Engineer known for launching AI-powered search experiences at scale. With years leading headless WordPress solutions on Next.js, Theo brings pragmatic clarity and production wisdom to every page. He distills JavaScript-first AI expertise into approachable patterns that help developers deliver reliable intelligent features quickly.

PART 1: EXPLORING GENERATIVE AI WITH REACT AND NEXT.JS

1 UNDERSTANDING GENERATIVE AI WEB APPS

2 GETTING STARTED WITH GENERATIVE AI WEB APPS USING REACT AND NEXT.JS

3 INTRODUCTION TO VERCELAI SDK

4 SCALING AND MANAGING STATE WITH VERCEL AI SDK

PART 2: ADVANCED GENERATIVE AI TECHNIQUES FOR WEB APPS

5 PROMPT ENGINEERING TECHNIQUES

6 GETTING STARTED WITH LANGCHAIN.JS

7 ADVANCED APPLICATIONS WITH LANGCHAIN.JS

8 TESTING, AND DEBUGGING TECHNIQUES FOR AI APPLICATIONS

9 DEPLOYMENT AND SECURITY

PART 3: REAL-WORLD EXAMPLES OF GENERATIVE AI WEB APPS

10 BUILDING AN AI INTERVIEW ASSISTANT: PROJECT WALKTHROUGH

11 BUILDING AN AI RAG AGENT: PROJECT WALKTHROUGH

APPENDIX

APPENDIX A: RUNNING THE EXAMPLES

Erscheint lt. Verlag	4.5.2026
Verlagsort	New York
Sprache	englisch
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Mathematik / Informatik ► Informatik ► Netzwerke
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Informatik ► Web / Internet
ISBN-10	1-63343-608-X / 163343608X
ISBN-13	978-1-63343-608-4 / 9781633436084
Zustand	Neuware