Despoudis Theo (43 results)

Condition: Very Good. Dust Jacket Condition: 48693733. 1792051988. 10/15/2026 8:13:08 AM.

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paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

paperback. Condition: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condition: good. The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.…

Condition: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.

paperback. Condition: Fine.

Condition: New.

Hardback. Condition: New. 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.…

Condition: New.

paperback. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: As New. Unread book in perfect condition.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. pp. 350.

paperback. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condition: New.

Condition: new.

Hardcover. Condition: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New.

Hardback. Condition: New. New copy - Usually dispatched within 2 working days.

Hardback. Condition: New. 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.…

Condition: As New. Unread book in perfect condition.

Paperback. Condition: Brand New. 375 pages. 7.38x0.98x9.25 inches. In Stock.

paperback. Condition: New. Special order direct from the distributor.

Paperback. Condition: Brand New. 375 pages. 7.38x0.98x9.25 inches. In Stock.

Condition: NEW.

Hardcover. Condition: new. Hardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condition: Neu. Neuware - Get a free Elektronisches Buch (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.This book 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. It guides you through AI development using only JavaScript and other common web dev skillsno 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. 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 About the technology The users have spoken! Agents, personalized responses, and other LLM-powered features are required in modern web applications. Build AI-Enhanced Web Apps presents the end-to-end architecture of AI web apps, including UI, backend infrastructure, data processing, API integration, deployment, and scaling, with examples and language perfect for professional web developers. About the book This accessible book shows you how to ship real AI featuresnot just toy demosusing a JavaScript stack you already know: React for UI, Next.js for backend integration, and the Vercel AI SDK to connect to LLMs like Gemini and GPT. In it, you'll acquire the skills you need to complete two portfolio-ready projects: a voice-based interview assistant and a RAG-powered corporate knowledge system. You'll also learn how to design workflows that balance latency, cost, and UX and implement responsible guardrails for security, quality control, hallucinations, and bias. 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. Table of Contents Part 1 1 Using generative AI in web apps 2 Building your first generative AI web application 3 Connecting AI models with the Vercel AI SDK 4 Managing conversation and state in your application Part 2 5 Prompt engineering in web applications 6 Building AI workflows with LangChain.js 7 Document summarization and RAG with LangChain.js 8 Testing and debugging techniques 9 Deployment and security Part 3 10 Building an AI interview assistant: Project walk-through 11 Building an AI RAG agent: Project walk-through Part 4 12 Integrating web apps with the Model Context Protocol A Running the examples.…