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 data scientists/engineers looking to experiment with vectors/embeddings.
Installation
The easiest way is to install this package is to run pip install --upgrade relevanceai.
You can also install on conda (only available on Linux environments at the moment): conda install -c relevance 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
Config
The config contains the adjustable global settings for the SDK. For a description of all the settings, see here.
To view setting options, run the following:
client.config.options
The syntax for selecting an option is section.key. For example, to disable logging, run the following to modify logging.enable_logging:
client.config.set_option('logging.enable_logging', False)
To restore all options to their default, run the following:
client.config.reset_to_default()
Changing Base URL
You can change the base URL as such:
client.base_url = "https://.../latest"
You can also update the ingest base URL:
client.ingest_base_url = "https://.../latest
1 maintainer
Metadata
1 maintainer
Release files for RelevanceAI-dev 0.25.0.2022.1.5.5.50.50.432966
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-0.25.0.2022.1.5.5.50.50.432966.tar.gz | 68.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| RelevanceAI_dev-0.25.0.2022.1.5.5.50.50.432966-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 158.7 kB
Release files / RelevanceAI-dev-0.25.0.2022.1.5.5.50.50.432966.tar.gz
| Download URL | RelevanceAI-dev-0.25.0.2022.1.5.5.50.50.432966.tar.gz |
|---|---|
| Size | 68.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d1633bc1d0f1978d9a16074c1ec3dfcb18f5bd331274b92e7ec18a5a3428b71f
|
|
BLAKE2b-256 checksum How to use checksums |
4609ff4b6c34b96a81497fef0be64d25f2f77b279763b40b2daad5418f2dd24a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1
|
Release files / RelevanceAI_dev-0.25.0.2022.1.5.5.50.50.432966-py3-none-any.whl
| Download URL | RelevanceAI_dev-0.25.0.2022.1.5.5.50.50.432966-py3-none-any.whl |
|---|---|
| Size | 90.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b81d53d0d2ac3ea7c4888a7db8a36973d2bbabb27778524d384d0f6efc261300
|
|
BLAKE2b-256 checksum How to use checksums |
8eb75066a3d7296230b46c4b107d26ddfc54ba4025120a25be0b53c20ff10051
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1
|
