RAG Architecture + Multi-GPU Training (DDP, FSDP, ZeRO)
RAG Architecture + Multi-GPU Training (DDP vs FSDP vs ZeRO) – Complete Production Guide 2026 RAG Architecture + Multi-GPU Training: Complete Production Guide (2026) 🚀 This guide covers: RAG pipelines, LangChain + FAISS, DDP vs FSDP vs ZeRO, security defenses, and cloud deployment. What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is a hybrid AI architecture that enhances Large Language Models (LLMs) by integrating external knowledge retrieval into the generation process. Instead of relying solely on pre-trained parameters, RAG dynamically fetches relevant information from a vector database at inference time. RAG significantly reduces hallucinations and enables real-time knowledge updates. A typical RAG system consists of three core stages: Ingestion: Documents are chunked, embedded, and stored in a vector database. Retrieval: Queries are embedded and matched using similarity search. Generation: Retriev...
