Hands-On RAG for Production Design, Develop, and Deploy Production-Ready RAG Applications (Ofer Mendelevitch, Forrest Sheng Bao)（Z-Library）

Author： Ofer Mendelevitch, Forrest Sheng Bao

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. 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.