Hands-On RAG for Production (Final) by Ofer Mendelevitch (.ePUB)+
File Size: 10.7 MB
Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications (Final Release) by Ofer Mendelevitch, Forrest Sheng Bao
Requirements: .ePUB, .PDF reader, 10.7 MB
Overview: Retrieval-augmented generation (RAG) is the go-to strategy for integrating large language models with your organization’s unique knowledge. However, the market is full of RAG pipelines and components, making it hard to choose the right solution for your enterprise’s needs. This book simplifies the process, offering a comprehensive road map to building, refining, and scaling production-grade RAG applications. Authors Ofer Mendelevitch and Forrest Bao guide you through every phase of development, from data ingestion, embeddings, and vector search to advanced techniques like agentic RAG, multimodal RAG, and GraphRAG. Engineers and architects will learn how to tackle the challenges they’ll encounter when building RAG applications at enterprise scale: ensuring high accuracy with minimal hallucinations, maintaining low-latency performance, safeguarding data privacy, and providing transparent, explainable responses among them. This book is for the builders in the trenches of the AI era—the software engineers, Machine Learning engineers, and data architects who know that the distance between a successful pip install and a reliable production system is measured in sleepless nights. You are likely responsible for putting RAG systems on the critical path: the systems that customers, employees, and leadership now depend on. You aren’t looking for another tutorial on prompt engineering; you are tasked with the structural heavy lifting. Whether you are designing document pipelines that don’t choke on complex PDF files, implementing guardrails to kill hallucinations, or building the evaluation frameworks that prove your system actually works, this book is your guide. To ensure this book is the right fit for your current journey, it is important to note that we skip the introductory basics. This is an advanced engineering guide, not a foundational Python course. We assume a level of comfort with Python’s core structures and basic programming patterns; if you are still distinguishing between lists and dictionaries, you will likely find the technical depth of our implementations more frustrating than helpful.
Genre: Non-Fiction > Tech & Devices
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