RAG 시스템 실전 구축 (v38)
matias yoon
RAG 시스템 실전 구축 (v38) Real-World RAG Implementation Guide for ML Engineers 1. RAG Fundamentals: The Core Loop Retrieval-Augmented Generation (RAG) is a powerful pattern that combines information retrieval with language generation. The core loop consists of three phases: Retrieval : Find relevant documents from a knowledge base Augmentation : Inject retrieved context into prompts Generation : Generate responses using the augmented prompt # Simplified RAG Loop class BasicRAG : def __init__ ( self ,
