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Add a new retrieval method (e.g. _sparse_vector_retrieval) analogous to _embedding_retrieval and _bm25_retrieval, which builds and executes a sparse_vector query using a precomputed query_vector.
New retriever component: input query_sparse_embedding (e.g. from Fastembed); calls the document store’s sparse retrieval method.