weaviate-client 0.2.0

A python native weaviate client

Weaviate python client

A python native client for easy interaction with a weaviate instance.

Install

The package can be easily installed using pip. The client is developed and tested for python 3.7.

pip install weaviate-client

Usage

First make sure that weaviate is running. See the installation guide on how to start weaviate.

Before we can load data we need to create a client and load a schema.

import weaviate
client = weaviate.Client("http://localhost:8080")
client.create_schema("https://raw.githubusercontent.com/semi-technologies/weaviate-python-client/master/documentation/getting_started/people_schema.json")

A schema can be provided as an URL, file or a dict. Now lets create some things.

client.create_thing({"name": "John von Neumann"}, "Person", "b36268d4-a6b5-5274-985f-45f13ce0c642")
client.create_thing({"name": "Alan Turing"}, "Person", "1c9cd584-88fe-5010-83d0-017cb3fcb446")

client.create_thing({"name": "Legends"}, "Group", "2db436b5-0557-5016-9c5f-531412adf9c6")

We can simply add cross-references through:

client.add_reference_to_thing("2db436b5-0557-5016-9c5f-531412adf9c6", "members", "b36268d4-a6b5-5274-985f-45f13ce0c642")
client.add_reference_to_thing("2db436b5-0557-5016-9c5f-531412adf9c6", "members", "1c9cd584-88fe-5010-83d0-017cb3fcb446")

Note: Weaviate might needs a second to update its index after a new thing has been created.

Look at the data using the simple query:

{
  Get {
    Things {
      Group {
        name
        uuid
        Members {
          ... on Person {
            name
            uuid
          }
        }
      }
    }
  }
}

Please find the full client documentation here.

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