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jaanli avatar jaanli commented on July 16, 2024

In case further motivation is needed, here are the types of algorithms I need to benchmark: https://github.com/google-deepmind/xtr - the FAISS parts are here: https://github.com/google-deepmind/xtr/blob/main/xtr_evaluation_on_beir_miracl.ipynb

            ds = 128
            num_clusters = 50
            code_size = 64
            quantizer = faiss.IndexFlatIP(ds)
            opq_matrix = faiss.OPQMatrix(ds, code_size)
            opq_matrix.niter = 10
            sub_index = faiss.IndexIVFPQ(quantizer, ds, num_clusters, code_size, 4, faiss.METRIC_INNER_PRODUCT)
            index = faiss.IndexPreTransform(opq_matrix, sub_index)
            index.train(all_token_embeds[:num_tokens])
            index.add(all_token_embeds[:num_tokens])
            class FaissSearcher(object):
                def __init__(self, index):
                    self.index = index
                def search_batched(self, query_embeds, final_num_neighbors, **kwargs):
                    scores, top_ids = self.index.search(query_embeds, final_num_neighbors)
                    return top_ids, scores
            self.searcher = FaissSearcher(index)

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