Retrieval Augmented Generation (RAG)
This method uses a retrieval model to fetch relevant documents and a generation model to create coherent responses, enhancing AI’s ability to produce contextually accurate information.
Retrieval-Augmented Generation (RAG) uses your organization’s data to improve the responses from a large language model (LLM). By using live data, RAG ensures that the responses are up-to-date, providing you with precise and timely insights.