Muutke küpsiste eelistusi

E-raamat: Build AI-Enhanced Web Apps: How to get reliable results with React, Next.js, and Vercel

  • Formaat: EPUB+DRM
  • Ilmumisaeg: 17-Mar-2026
  • Kirjastus: Manning Publications
  • Keel: eng
  • ISBN-13: 9781638357810
Teised raamatud teemal:
  • Formaat - EPUB+DRM
  • Hind: 42,06 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
Build AI-Enhanced Web Apps: How to get reliable results with React, Next.js, and VercelSuurem pilt

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

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. 

Arvustused

The book covers the technical implementation of generative AI in web applications, including LLMs, document summarization, Retrieval-Augmented Generation (RAG), and AI-driven web development. It provides hands-on coding examples and practical use cases, making it a good match for developers and AI engineers looking to integrate AI into web apps. Vinod Veeramachaneni,, Software Engineering Leader, ThinkMediator 





This is a book necessary for those who want to understand how LLM and generative AI can be integrated into a Web application. Panagiotis Matsinopoulos, Humble Software Engineer, Talent Protoco 

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  
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. 
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97816383578106e.html