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
Metadata
Release files for RelevanceAI-dev 0.19.0.2021.12.7.0.53.56.568303
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| RelevanceAI-dev-0.19.0.2021.12.7.0.53.56.568303.tar.gz | 53.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| RelevanceAI_dev-0.19.0.2021.12.7.0.53.56.568303-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 124.3 kB
Release files / RelevanceAI-dev-0.19.0.2021.12.7.0.53.56.568303.tar.gz
| Download URL | RelevanceAI-dev-0.19.0.2021.12.7.0.53.56.568303.tar.gz |
|---|---|
| Size | 53.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / RelevanceAI_dev-0.19.0.2021.12.7.0.53.56.568303-py3-none-any.whl
| Download URL | RelevanceAI_dev-0.19.0.2021.12.7.0.53.56.568303-py3-none-any.whl |
|---|---|
| Size | 70.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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