{"product_id":"llms-in-practice-weiming-chen-9798261786542","title":"LLMs in Practice: Building RAG Assistants with Embeddings and Vector Databases: From Vector Search to Real-World AI Assistants","description":"\u003cp\u003eBuild real-world AI assistants, not just toy demos.\u003c\/p\u003e\u003cp\u003eLLMs in Practice shows you, step by step, how to build retrieval-augmented generation (RAG) systems with embeddings and vector databases, then turn them into production-ready assistants that search, reason, and take action.\u003c\/p\u003e\u003cp\u003eInstead of hand-wavy theory, this book walks through a complete stack: ingesting documents, chunking and embedding them, storing vectors, wiring up retrieval, designing grounded prompts, evaluating quality, logging behaviour, securing data, adding tools, and finally deploying everything as a service. Along the way, you see the same patterns implemented in both Python and TypeScript, so you can work in whichever ecosystem you prefer.\u003c\/p\u003e\u003cp\u003eYou'll learn how to take a messy folder of PDFs, wikis, and docs and turn it into: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eA searchable knowledge base backed by embeddings and a vector database\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eA grounded RAG pipeline that cites its sources instead of hallucinating\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eA tools-enabled assistant that not only answers questions, but can create tickets, trigger workflows, or call APIs\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eAn observable system with traces, logs, and a small evaluation set, so you can improve it over time\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eA deployable service (FastAPI or Express) that real users can talk to\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe focus throughout is on small, composable building blocks you can actually ship: tight retrieval functions, clear prompt templates, thin adapters around model providers, and simple web endpoints that wrap it all together. No heavy frameworks required.\u003c\/p\u003e\u003cp\u003eBy the end of the book, you'll have a practical roadmap to go from \"I can call an LLM API\" to \"I have a narrow, grounded assistant in production that my team actually uses\"-and a set of patterns you can reuse for the next assistant you build.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Weiming Chen\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798261786542\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 12\/17\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 184\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.56lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.39d","brand":"Weiming Chen","offers":[{"title":"Paperback","offer_id":48242078974207,"sku":"9798261786542","price":22.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_611f01c8-b6e8-452c-beea-9dee8f1e10ee.jpg?v=1772657401","url":"https:\/\/www.whiterainbookhouse.com\/products\/llms-in-practice-weiming-chen-9798261786542","provider":"WR Book House","version":"1.0","type":"link"}