| from datasets import load_dataset | |
| import numpy as np | |
| from usearch.index import Index | |
| from sentence_transformers.util import quantize_embeddings | |
| dataset = load_dataset("mixedbread-ai/wikipedia-2023-11-embed-en-pre-1", split="train") | |
| embeddings = np.array(dataset["emb"], dtype=np.float32) | |
| int8_embeddings = quantize_embeddings(embeddings, "int8") | |
| index = Index(ndim=1024, metric="ip", dtype="i8") | |
| index.add(np.arange(len(int8_embeddings)), int8_embeddings) | |
| index.save("wikipedia_int8_usearch_1m.index") | |