smart vector db
Project description
安装
pip install smart_vector
使用方法
from smart_vector import SmartVectorDB, Text2VecEmbeddingFunction
# 定义向量转化函数
text_vector = Text2VecEmbeddingFunction()
# 数据库连接
connect_dict = {
'host': 'xxx',
'port': 9030,
'user': 'xxxx',
'password': 'xxx',
'db': 'smartdb'
}
mydb = SmartVectorDB(db_config=connect_dict, load_host='xxx', text_vector=text_vector)
# 插入数据
mydb.add(collection='test', sr='测试', documents=['中国有一个北京', '北京在中国', '台湾是中国的'])
mydb.add(collection='test', sr='测试', documents=['中国有一个北京1', '北京在中国1'],
categorys=['A1', 'A1'], metadatas=[{'s': 's1'}, {'s': 's2'}])
# 查询
query = """天安门\ncollection='test' and sr = '测试' and document like '%北京%'\ndocument,sr,c\n3"""
print(mydb.get(query))
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
smart_vector-1.0.tar.gz
(3.8 kB
view hashes)
Built Distribution
Close
Hashes for smart_vector-1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d88b28707f011b08bdacd782cd7be9dd3aa236f978b314cf7b24961e79ae1510 |
|
MD5 | 84b5b3ee57551b486c789c113d2db66f |
|
BLAKE2b-256 | ba94c8f53a926652871099e054329afde5127436e45d4809ba85d6c75b6b0c62 |