What is RAG and when does it create real value?

RAG is more than connecting a model to files

Retrieval quality, chunking, metadata and answer evaluation are core parts of a reliable RAG system.

When is it useful?

For enterprise knowledge, large document sets and frequently changing content, RAG can be preferable to retraining a model.