Question: What is the primary role of Transformer - based embedding models within the RAG architecture ? To serve only as a storage mechanism for retrieving

What is the primary role of Transformer-based embedding models within the RAG architecture ?
To serve only as a storage mechanism for retrieving text data
To exclusively manage the user interface components
To encode both questions and documents for relevance scoring in the retrieval step
To generate numeric predictions without any text generation

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