yolandamuriel.comARTIFICIAL INTELLIGENCE (44) – Natural Language Processing (22) RAG (Retrieval‑Augmented Generation)
Retrieval‑Augmented Generation (RAG) is an architecture that combines: Information retrieval (searching relevant documents), and Text generation (using a Large Language Model). Instead of relying only on what the model learned during training, RAG allows the model to: Look up external, up‑to‑date, or private knowledge, and Use that retrieved information as context when generating an answer. This drastically improves accuracy, grounding, and trustworthiness. Overview of the Main […]