Meaning of RAG (Retrieval-Augmented Generation)

Simple definition

RAG is an AI technique that enhances language model outputs by retrieving relevant data from external knowledge sources, combining generation with retrieval.

How to use RAG (Retrieval-Augmented Generation) in a professional context

RAG is used in applications like chatbots, document summarization, and Q&A systems to provide accurate and context-aware responses. It retrieves real-time or specific information to improve model reliability.

Concrete example of RAG (Retrieval-Augmented Generation)

A legal AI assistant uses RAG to search its knowledge base for relevant case law and generate summaries tailored to user queries.