{"product_id":"9781633436527","title":"Build an Advanced RAG Application (From Scratch)","description":"\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eAuthor\/Contributor(s):\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eFarooq, Hamza\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eManning\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eDate:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10\/27\/2026\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eBinding:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003ePaperback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eNEW\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cb\u003eGet the eBook free when you register your print book at Manning.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eRetrieval Augmented Generation—RAG—is now the standard way to improve LLM accuracy and relevance. But building production-grade RAG systems requires far more than connecting an LLM to a vector database. In this book, you’ll learn RAG from first principles by creating a complete portfolio of end-to-end applications. You’ll build each component of the pipeline, ensuring full control over every part of the stack.\u003cbr\u003e \u003cbr\u003eWritten by former Google research scientist Hamza Farooq, this hands-on guide takes you from LLM and transformer fundamentals through keyword search and semantic retrieval to production RAG systems. You’ll build a hotel search engine with semantic ranking, implement semantic caching for cost-effective production deployments, develop autonomous AI agents powered by RAG context, and deploy optimized open-source LLMs. Through under-the-hood experience, you’ll master embeddings, chunking, reranking, vector databases, evaluation frameworks, fine-tuning, and more.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eWhat's inside\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e • Design and implement efficient search algorithms for LLM applications\u003cbr\u003e  • Master deep customization techniques for every RAG pipeline component\u003cbr\u003e  • Model fine-tuning techniques for task-specific and domain adaptation\u003cbr\u003e  • Deploy quantized versions of open-source LLMs using vLLMs and Ollama\u003cbr\u003e \u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e For Python developers with NLP basics, who are ready to move beyond framework abstractions and build RAG systems optimized for their specific constraints.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e \u003cb\u003eHamza Farooq\u003c\/b\u003e is the founder and CEO of Traversaal.ai, and he's a seasoned AI expert. His experience includes roles as both a research scientist at Google and a distinguished adjunct professor at leading institutions like Stanford UCLA and University of Minnesota.","brand":"Manning","offers":[{"title":"Default Title","offer_id":48454513361151,"sku":"9781633436527","price":59.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0452\/0886\/2873\/files\/9781633436527_s600x595.jpg?v=1781621896","url":"https:\/\/massivebookshop.com\/de\/products\/9781633436527","provider":"MASSIVE BOOKSHOP","version":"1.0","type":"link"}