FAQ: Retrieval-Augmented Generation (RAG) Systems – Expectations, Limits & Best Practices
1. What is a RAG-based system? RAG (Retrieval-Augmented Generation) is an AI system design where a retriever pulls relevant documents or chunks from a knowledge base, and a generator (like GPT or LLaMA) uses that content to answer a user’s question in natural language. It enables AI to: Work with private data Provide traceable, source-backed […]