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        "description": "\n# Milvus Python SDK -- pymilvus\n\n[![version](https://img.shields.io/pypi/v/pymilvus.svg?color=blue)](https://pypi.org/project/pymilvus/)\n[![license](https://img.shields.io/hexpm/l/plug.svg?color=green)](https://github.com/milvus-io/pymilvus/blob/master/LICENSE)\n\nUsing Milvus python sdk for Milvus\nDownload\n---\nPymilvus only supports `python >= 3.4`, is fully tested under 3.4, 3.5, 3.6, 3.7.\n\n\nPymilvus can be downloaded using `pip`. If no use, try `pip3`\n```$\n$ pip install pymilvus\n```\nIf you are using `milvus-0.3.0`, last version that supports `milvus-0.3.0` is `0.1.13`, you can download by:\n```$\n$ pip install pymilvus==0.1.13\n```\n<span style=\"color:red\">**[Note]** It's NOT recommended to upgrade to higher version if you are still using `milvus-0.3.0`</span>\n\nIf you want to upgrade `pymilvus` to newest version\n```$\n$ pip install --upgrade pymilvus\n```\n## Import\n\n```python\nfrom milvus import Milvus, IndexType, Status\n```\n\n## Getting started\n\nInitial a `Milvus` instance and  `connect` to the sever\n\n```python\n>>> milvus = Milvus()\n\n>>> milvus.connect(host='SERVER-HOST', port='SERVER-PORT')\nStatus(code=0, message=\"Success\")\n```\nOnce successfully connected, you can get the version of server\n\n```python\n>>> milvus.server_version()\n(Status(code=0, message='Success'), 0.3.1)  # this is example version, the real version may vary\n```\n---\n\nAdd a new `table`\n\n\nFirst set param\n```python\n>>> param = {'table_name':'test01', 'dimension':256, 'index_type':IndexType.FLAT, 'store_raw_vector':False}\n```\nThen `create table`\n```python\n>>> milvus.create_table(param)\nStatus(message='Table test01 created!', code=0)\n```\n\nDescribe the table we just created\n```python\n>>> milvus.describe_table('test01')\n(Status(code=0, message='Success!'), TableSchema(table_name='test01',dimension=256, index_type=1, store_raw_vector=False))\n```\n\n---\n\nAdd vectors into table `test01`\n\nFirst create 20 vectors of 256-dimension.\n\n- 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\n\n```python\n>>> import random\n>>> from pprint import pprint\n\n>>> dim = 256  # Dimension of the vector\n\n# Initialize 20 vectors of 256-dimension\n>>> fake_vectors = [[random.random() for _ in range(dim)] for _ in range(20)]\n```\n\nThen add vectors into table `test01`\n```python\n>>> status, ids = milvus.add_vectors(table_name='test01', records=vectors)\n>>> print(status)\nStatus(code=0, message='Success')\n>>> pprint(ids) # List of ids returned\n23455321135511233\n12245748929023489\n...\n```\n---\nSearch vectors\n\n```python\n# create 5 vectors of 256-dimension\n>>> q_records = [[random.random() for _ in range(dim)] for _ in range(5)]\n```\n\nThen get results\n```python\n>>> status, results = milvus.search_vectors(table_name='test01', query_records=q_records, top_k=10)\n>>> print(status)\nStatus(code=0, message='Success')\n>>> pprint(results) # Searched top_k vectors\n```\n\n---\nDelet the table we just created\n\n```python\n>>> milvus.delete_table(table_name='test01')\nStatus(code=0, message='Success')\n```\nDisconnect with the server\n```python\n>>> milvus.disconnect()\nStatus(code=0, message='Success')\n```\n\n---\n\n## Example python\nThere are some small examples in `examples/`, you can find more guide there.\n\nBuild docs\n```$\n$ sphinx-build -b html doc/en/ doc/en/build\n```\n\n\nIf you encounter any problems or bugs, please open new issues\n\n\n",
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