description
Project description
: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)
milvus镜像
yum -y install python3
# ln -sf /usr/bin/python3 /usr/bin/python
# ln -sf /usr/bin/pip3 /usr/bin/pip
pip3 install -U --no-cache-dir -i https://mirror.baidu.com/pypi/simple pip meutils pymilvus
rm -rf /tmp/*
rm -rf /root/.cache/pip*
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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
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