:rocket: ANN :facepunch:
Install
pip install fast-ann
Usage
from ann import ANN
import numpy as np
data = np.random.random((1000, 128)).astype('float32')
ann = ANN()
ann.train(data, index_factory='IVF4000, Flat', noramlize=True)
dis, idx = ann.search(data[:10])
print(dis)
print(idx)
-
faiss不同量级对应的训练时间及内存测试
-
压缩方式测试
-
四种组合：默认是查向量返回 distance与index
- id => id/vector
- vector => id/vector
- push场景需要 docid => title_vector => docid
-
线上服务
- id2word
- id2vector
1 maintainer
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