RAG is a method that improves Large Language Models (LLMs) by giving them access to external knowledge. Instead of relying only on what the model was trained on, we can “augment” it with facts from our own documents or databases.
RAG is a method that improves Large Language Models (LLMs) by giving them access to external knowledge. Instead of relying only on what the model was trained on, we can “augment” it with facts from our own documents or databases.