No project description provided
Project description
RelevanceAI
For guides, tutorials on how to use this package, visit https://docs.relevance.ai/docs.
If you are looking for an SDK reference, you can find that here.
Built mainly for users looking to experiment with vectors/embeddings.
Installation
The easiest way is to install this package is to run pip install --upgrade relevanceai
.
How to use the RelevanceAI client
For example:
## To instantiate the client
from relevanceai import Client
client = Client()
Development
Getting Started
To get started with development, ensure you have pytest
and mypy
installed. These will help ensure typechecking and testing.
python -m pip install pytest mypy
Then run testing using:
Make sure to set your test credentials!
export TEST_PROJECT = xxx
export TEST_API_KEY = xxx
python -m pytest
mypy relevanceai
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 Distribution
Built Distribution
Close
Hashes for RelevanceAI-dev-0.19.0.2021.12.7.0.53.56.568303.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5b280471e873236fb3a36b8fac66867a7d45a44e1908fac5e84b61e6cf345ebb |
|
MD5 | c864700fdbeb98b25aede5e6b39145ee |
|
BLAKE2b-256 | 8d27855d669bc9270db62893f38c781fb0be91d285a434d22d9f95a19381667c |
Close
Hashes for RelevanceAI_dev-0.19.0.2021.12.7.0.53.56.568303-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 885456f46831019516d9845e99d7bc6877d86e67cc55b3e6cb4a647448d5de90 |
|
MD5 | d05ffe6989e28b9e14df56e36a5493d3 |
|
BLAKE2b-256 | a3cb14f625ce0840821462eff029ad501611f74a1b87ff0bdb7ae75778f95285 |