Retrieval-Augmented Generation (RAG) is a machine learning framework that combines retrieval-based methods with generation-based methods to improve the performance and effectiveness of natural language understanding and generation tasks. It is particularly well-suited for tasks like question answering, summarization, and interactive chat applications.
https://www.awesomepython.org/?q=rag
https://github.com/NirDiamant/RAG_Techniques