Retriever

The retriever is the component of a RAG system responsible for fetching relevant passages from a document store given a query. It may use dense retrieval — computing embedding similarity — sparse retrieval such as BM25, or a hybrid of both. Retriever quality is the single largest determinant of end-to-end RAG accuracy: if the correct passage is never retrieved, no amount of generator sophistication can produce a correct grounded answer.