What is LLM RAG?
Retrieval-Augmented Generation is a framework in generative AI to give large language models the ability to generate more accurate and relevant responses from your business data.
In this framework, you combine a model with your business-specific datasets or domain-specific knowledge bases. When you ask the generative AI application a question, the system retrieves the latest, relevant data from the connected sources and guides the models to generate accurate responses.