Efficient open-domain question-answering on Vespa.ai

We use Recall@position as the main evaluation metric for the retriever. The obvious goal of the retriever is to have the highest recall possible at the lowest possible position. Since the final top position passages are re-ranked using the BERT-based reader, the fewer passages we need to evaluate the better the run time complexity and performance.