What is the RAG definition and how does it work?
The RAG definition could be viewed as a methodology that unites information search and text generation into a single procedure. Basically, this methodology is easy to describe, since instead of asking a model to give an answer based solely on its internal knowledge, a connection with an appropriate source of information is used to retrieve some relevant material. Then, the information is fed into the model, which uses it to generate a response. In general, a RAG methodology includes preparation of information, storing it, its retrieval, and finally generating an answer based on the context. RAG could be useful for organizations when they want to apply AI models to their documents and databases.