What is Retrieval Augmented Generation system?

A Retrieval Augmented Generation system is a type of machine learning system that combines elements of information retrieval and generative modeling to produce high-quality, contextually relevant text. Unlike traditional generative models, which generate text based solely on the input data provided, retrieval augmented systems incorporate a retrieval component that allows them to retrieve and incorporate relevant information from a larger knowledge base or corpus. This integration of retrieval and generation techniques enables the system to produce more accurate, coherent, and informative text outputs.

This mind map was published on 20 September 2024 and has been viewed 50 times.