RAG
What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is an AI architecture pattern that combines information retrieval systems with Large Language Models (LLMs) to generate accurate, grounded, and context-aware responses. Instead of relying solely on the model’s internal knowledge, RAG retrieves relevant information from external data sources and provides it to the LLM at inference … Continue reading RAG



