Skip to main content

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

Release files for RelevanceAI-dev 0.24.6.2021.12.23.2.18.20.919236

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for RelevanceAI-dev 0.24.6.2021.12.23.2.18.20.919236
File Size Uploaded
RelevanceAI-dev-0.24.6.2021.12.23.2.18.20.919236.tar.gz 64.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for RelevanceAI-dev 0.24.6.2021.12.23.2.18.20.919236
File Interpreter ABI Platform
RelevanceAI_dev-0.24.6.2021.12.23.2.18.20.919236-py3-none-any.whl Python 3 none any Details

Total release size: 150.5 kB

Release files / RelevanceAI-dev-0.24.6.2021.12.23.2.18.20.919236.tar.gz

Download URL RelevanceAI-dev-0.24.6.2021.12.23.2.18.20.919236.tar.gz
Size 64.5 kB
Tags Source
SHA-256 checksum
How to use checksums
118b4219c1412d7dd489aabdb94573d59d1fc4f9db8020f9bb60527f169afd2d
BLAKE2b-256 checksum
How to use checksums
1dc2f50a096d26d31df3763dcdd0e76de51c292c53b0aa0c34493e0ebb100d34
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/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1

Release files / RelevanceAI_dev-0.24.6.2021.12.23.2.18.20.919236-py3-none-any.whl

Download URL RelevanceAI_dev-0.24.6.2021.12.23.2.18.20.919236-py3-none-any.whl
Size 86.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
8e241f4a3a390e256bcefb50468d7a0e1bc73de14a895c19d08c36ed577997d6
BLAKE2b-256 checksum
How to use checksums
1e7e891cbaf95fa186a1a15520615abc3279f937367f13ee21289c61db3c7c9b
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/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1

Release history Release notifications | RSS feed

This release

0.17.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page