What Is RAG, Actually?
RAG gives models access to private data at inference time without retraining
“retrieval augmented generation as giving the model an open book test instead of making it memorize everything”
LangChain published a short explainer video defining RAG as injecting relevant retrieved context into the model prompt at inference time. The content is a basic conceptual overview aimed at newcomers, not a product announcement or technical advancement. Low newsletter signal value as it covers well-established concepts without new findings or announcements.