From Scratch Build an Advanced Rag Application (from Scratch), (Paperback)

<b>Get the eBook free when you register your print book at Manning.</b> <p>Retrieval 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. </p><p>Written 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. </p><p> <b>What's inside</b> </p><p> - Design and implement efficient search algorithms for LLM applications<br> - Master deep customization techniques for every RAG pipeline component<br> - Model fine-tuning techniques for task-specific and domain adaptation<br> - Deploy quantized versions of open-source LLMs using vLLMs and Ollama </p><p><b>About the reader</b> </p><p> For Python developers with NLP basics, who are ready to move beyond framework abstractions and build RAG systems optimized for their specific constraints. </p><p> <b>About the author</b> </p><p> <b>Hamza Farooq</b> 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.</p>

• From Scratch Build an Advanced Rag Application (from Scratch), (Paperback)
• Author: Hamza Farooq
• ISBN: 9781633436527
• Format: Paperback
• Publication Date: 2026-10-27
• Page Count: 325