What is RAG (Retrieval-Augmented Generation)?
Retrieval-Augmented Generation (RAG) is a technique that improves the accuracy and relevance of Large Language Models (LLMs) by integrating external knowledge sources. It addresses LLM limitations by grounding responses in verifiable information, making AI outputs more reliable and informative.
Worth sharing?
Get the best AI stories of the week in your inbox — no noise, no spam.