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-0.17.0.2021.11.30.3.35.2.879524.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0e5d7b69a205b1d0d5abae853d03b0d39f01af12c696a77e81d96f2bc9aa9500 |
|
MD5 | fd03f848c19a18bac1b7d1b32252b528 |
|
BLAKE2b-256 | 923a49723b386371f81db244f5dec632c99d07897f50c7b7c580f400fb633705 |
Close
Hashes for RelevanceAI_dev-0.17.0.2021.11.30.3.35.2.879524-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a67b366c4d32ad42e36822626fa7b09bff2dea193d2e0f4ece88d5c4a38ff85b |
|
MD5 | 40fc42fc3e12defdee7f930133fc80fb |
|
BLAKE2b-256 | 5e2c3093b8c67276820e3c2419f5568f658e37e221ec06dbb8fa1596f597ea2c |