Note that the logic to retrieve with the vector database and inject information and facts to the LLM context can be packaged while in the model artifact logged to MLflow employing MLflow LangChain or PyFunc model flavors. RAG bridges the hole read more between the internet's huge know-how and corporations' one of a kind abilities, revolutionizing