Skip to main content

Python Sdk for Milvus

Project description

version license

Milvus Python SDK

Using Milvus python sdk for Milvus

Download

Pymilvus only supports python >= 3.4, is fully tested under 3.4, 3.5, 3.6, 3.7.

Pymilvus can be downloaded using pip. If no use, try pip3

$ pip install pymilvus

Upgrade to newest version

$ pip install --upgrade pymilvus

Import

from milvus import Milvus, IndexType, Status

Getting started

Initial a Milvus instance and connect to the sever

>>> milvus = Milvus()

>>> milvus.connect(host='SERVER-HOST', port='SERVER-PORT')
Status(code=0, message="Success")

Once successfully connected, you can get the version of server

>>> milvus.server_version()
(Status(code=0, message='Success'), 0.3.0)  # this is example version, the real version may vary

Add a new table

First set param

>>> param = {'table_name':'test01', 'dimension':256, 'index_type':IndexType.FLAT, 'store_raw_vector':False}

Then create table

>>> milvus.create_table(param)
Status(message='Table test01 created!', code=0)

Describe the table we just created

>>> milvus.describe_table('test01')
(Status(code=0, message='Success!'), TableSchema(table_name='test01',dimension=256, index_type=1, store_raw_vector=False))

Add vectors into table test01

First create 20 vectors of 256-dimension.

  • Note that random and pprint we used here is for creating fake vectors data and pretty print, you may not need them in your project
>>> import random
>>> from pprint import pprint

>>> dim = 256  # Dimension of the vector

# Initialize 20 vectors of 256-dimension
>>> fake_vectors = [[random.random() for _ in range(dim)] for _ in range(20)]

Then add vectors into table test01

>>> status, ids = milvus.add_vectors(table_name='test01', records=vectors)
>>> print(status)
Status(code=0, message='Success')
>>> pprint(ids) # List of ids returned
23455321135511233
12245748929023489
...

Search vectors

# create 5 vectors of 256-dimension
>>> q_records = [[random.random() for _ in range(dim)] for _ in range(5)]

Then get results

>>> status, results = milvus.search_vectors(table_name='test01', query_records=q_records, top_k=10)
>>> print(status)
Status(code=0, message='Success')
>>> pprint(results) # Searched top_k vectors

Delet the table we just created

>>> milvus.delete_table(table_name='test01')
Status(code=0, message='Success')

Disconnect with the server

>>> milvus.disconnect()
Status(code=0, message='Success')

Example python

There are some small examples in examples/, you can find more guide there.

Build docs

$ sphinx-build -b html doc/en/ doc/en/build

If you encounter any problems or bugs, please add new issues

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 Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

pymilvus-0.1.23-py3-none-any.whl (25.7 kB view hashes)

Uploaded Python 3

Supported by

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