{"product_id":"building-scalable-llm-systems-for-production-deploy-and-scale-transformer-models-with-langchain-rag-and-vector-databases-9798296543660","title":"Building Scalable LLM Systems for Production: Deploy and Scale Transformer Models with LangChain, RAG, and Vector Databases","description":"\u003cp\u003e • Author(s): Tom Singleton\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Neural Networks\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eYou don't need another chatbot tutorial. You need to build systems.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eIf you're tired of LLM playground demos that break in the real world, this book is your answer. \u003ci\u003eBuilding Scalable LLM Systems for Production\u003c\/i\u003e is not about playing with GPT-it's about deploying intelligent applications that actually work, scale, and survive under load.\u003c\/p\u003e\u003cp\u003eBuilt for software engineers, ML practitioners, and technical product teams, this book teaches you how to go beyond prompts and actually engineer production-grade solutions using LangChain, RAG architectures, vector databases, custom APIs, and open-weight models like Mistral and LLaMA.\u003c\/p\u003e\u003cp\u003eWhether you're building a RAG-powered search engine, a tool-using AI agent, or a multi-tenant SaaS with OpenAI or Claude-this book gives you \u003cb\u003ereal-world architectures, cost-saving deployment patterns, monitoring blueprints, and scalable design principles\u003c\/b\u003e tested under real traffic, not just theory.\u003c\/p\u003e\u003cp\u003eInside, you'll learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eDesign retrieval-augmented generation (RAG) workflows that are accurate, fast, and resistant to hallucination\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eChoose and configure vector databases like Pinecone, Weaviate, Chroma, and Qdrant\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eBuild multi-step LangChain workflows with tools, memory, and tracing\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDeploy LLM apps using FastAPI, Docker, Vercel, and serverless infrastructure\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eMonitor token usage, latency, and model behavior using LangSmith and OpenTelemetry\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eAutomate failover, fallback, and error recovery in real-time\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eScale with confidence using quantization, async inference, CI\/CD, and cost control techniques\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eAudit, red-team, and safeguard your applications with ethical best practices at scale\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eAnd most importantly: you'll walk away with \u003cb\u003eproduction templates, full-stack architecture blueprints, and ready-to-use Colab\/GitHub links\u003c\/b\u003e that help you ship faster and smarter-without hallucinating your infrastructure.\u003c\/p\u003e\u003cp\u003eIf you're building with GPT, Claude, Mistral, or open-source LLMs-and your app needs to run on more than just your laptop-this book is your operations manual.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom prompt engineer to LLM systems architect. This book makes that leap possible.\u003c\/b\u003e\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46333976969367,"sku":"9798296543660","price":2970.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798296543660.webp?v=1768671024","url":"https:\/\/atlanticbooks.com\/products\/building-scalable-llm-systems-for-production-deploy-and-scale-transformer-models-with-langchain-rag-and-vector-databases-9798296543660","provider":"Atlantic Books","version":"1.0","type":"link"}