RAG: How AI Models Use Your Data Without Forgetting

Large language models are inherently stateless, lacking memory of past conversations or access to up-to-date or private data due to training limitations. Retrieval Augmented Generation (RAG) addresses this by introducing a retrieval step, allowing models to access external information and act as a reasoning engine over that data.