What is Retrieval-Augmented Generation (RAG)?

Retrieval-Augmented Generation (RAG) connects a language model with a company's own data. Before each answer, the system searches manuals, contracts or the knowledge base for relevant passages and passes them to the model. Answers are then based on verified sources rather than general training knowledge, and every statement can be traced back to its source. prexma uses RAG for internal knowledge search and customer service, for example. Put your company knowledge to work with us.