RAG 시스템 실전 구축 (v49)

This document provides a practical guide for building RAG (Retrieval-Augmented Generation) systems, covering fundamental concepts to advanced implementation techniques. It discusses chunking strategies, embedding model selection, vector database comparisons, and includes a simple Python code example.