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 the relevanceai client, we want to ensure the SDK mirrors the API 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-0.18.2.2021.12.1.12.59.56.593467.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 237c7b0ca11e62d730a84b80c484c67c89236bdeb5ce0d5696b6dae17f16ed18 |
|
MD5 | 5e9c3737fcc55e25b69b601793934999 |
|
BLAKE2b-256 | 38767136bc6cf65aea182d6f8ac0628985cacec37ae293efb1584f748bc8baae |
Close
Hashes for RelevanceAI_dev-0.18.2.2021.12.1.12.59.56.593467-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 175e53006ca2c28259e7fa102aa0253abf48981da008989defe7b94bea420e1e |
|
MD5 | 5100168d7a7fad2d68bed94ca138cc76 |
|
BLAKE2b-256 | 4bba7df56f56c39c220531b97d396925ab709aa74654683ea38855a615e09374 |