RAG is a technique that combines a language model with a real-time document retrieval system, giving ChatGPT access to up-to-date or proprietary knowledge.

How It Works

1. User asks a question
2. System searches a vector database for relevant documents
3. Retrieved documents are injected into the context
4. ChatGPT answers using both its training and the retrieved content

RAG is how enterprise ChatGPT applications give the model access to internal company knowledge bases.

Reference:

Wikipedia: RAG

https://en.wikipedia.org/wiki/Retrieval-augmented_generation