RAG is a technique that combines a large language model (LLM) with a vector store of embedded text chunks to retrieve relevant context at query time. In practice you feed a user prompt to the LLM, first pull the most relevant passages from an external knowledge base, then let the model generate ...
Source: [Dev.to](https://dev.to/samchenreviews/what-is-rag-ai-a-no-phd-guide-to-retrieval-augmented-generation-a2g)