weaviate-python-client | python native client for easy interaction | REST library
kandi X-RAY | weaviate-python-client Summary
kandi X-RAY | weaviate-python-client Summary
A python native client for easy interaction with a Weaviate instance.
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Top functions reviewed by kandi - BETA
- Update a cluster shard configuration
- Get the Authorization header
- Make a PUT request
- Refresh the bearer token
- Create a backup
- Validate backup_id and backend
- Get the status of a backup
- Validate and return arguments for create restore
- Validate the direction clause
- Checks that the objects in the given object is a list of objects
- Check that the concept is valid
- Build the query string
- Return a string representation of the _additional
- Adds the content to the collection
- Raise a TypeError if the value is of the given dtype
- Returns the batch size
- Automatically create batch
- Set the server version
- Logs in
- The timeout configuration
- Parse filter
- Determines if this request is dynamic
- The number of timeout retries
- Instantiation time
- Logs into the API
- Executes the query
weaviate-python-client Key Features
weaviate-python-client Examples and Code Snippets
Community Discussions
Trending Discussions on weaviate-python-client
QUESTION
I am trying to follow the steps at https://www.semi.technology/documentation/weaviate/current/client-libs/python.html and end up with the same problem as in:
Since the other question never got an answer i am trying to ask with more detail in the weaviate context.
I tried the following python-unit test:
...ANSWER
Answered 2020-Jul-26 at 14:10The request expects a JSON object (because of Content-type: application/json
) this can be added by setting -d '{ "query": "{ # GRAPHQL QUERY }" }'
(docs).
So in your case, the JSON object to send is:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install weaviate-python-client
You can use weaviate-python-client like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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