Skip to main content

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


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 details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

smart_vector-1.0-py3-none-any.whl (4.0 kB view details)

Uploaded Python 3

File details

Details for the file smart_vector-1.0.tar.gz.

File metadata

  • Download URL: smart_vector-1.0.tar.gz
  • Upload date:
  • Size: 3.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.0

File hashes

Hashes for smart_vector-1.0.tar.gz
Algorithm Hash digest
SHA256 32631b3e073683737ab483062b4720e9c4d42acee4b6e3d8410192f32922d031
MD5 a52dcc79b79e225787058d80eb1090b9
BLAKE2b-256 86b22b9d0289650ef9d4a4e131cf73765436b84926ab324ccb6989d34e98a3fc

See more details on using hashes here.

File details

Details for the file smart_vector-1.0-py3-none-any.whl.

File metadata

  • Download URL: smart_vector-1.0-py3-none-any.whl
  • Upload date:
  • Size: 4.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.0

File hashes

Hashes for smart_vector-1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d88b28707f011b08bdacd782cd7be9dd3aa236f978b314cf7b24961e79ae1510
MD5 84b5b3ee57551b486c789c113d2db66f
BLAKE2b-256 ba94c8f53a926652871099e054329afde5127436e45d4809ba85d6c75b6b0c62

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page