Retrieval-augmented generation, or RAG, is a process applied to large language models to make their outputs more relevant for the end user.
Source: McKinsey
What is retrieval-augmented generation (RAG)?
Retrieval-augmented generation, or RAG, is a process applied to large language models to make their outputs more relevant for the end user.
Source: McKinsey
What is retrieval-augmented generation (RAG)?