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 0.25.1.2022.1.5.11.42.29.429111

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 0.25.1.2022.1.5.11.42.29.429111
File Size Uploaded
RelevanceAI-dev-0.25.1.2022.1.5.11.42.29.429111.tar.gz 69.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for RelevanceAI-dev 0.25.1.2022.1.5.11.42.29.429111
File Interpreter ABI Platform
RelevanceAI_dev-0.25.1.2022.1.5.11.42.29.429111-py3-none-any.whl Python 3 none any Details

Total release size: 161.6 kB

Release files / RelevanceAI-dev-0.25.1.2022.1.5.11.42.29.429111.tar.gz

Download URL RelevanceAI-dev-0.25.1.2022.1.5.11.42.29.429111.tar.gz
Size 69.5 kB
Tags Source
SHA-256 checksum
How to use checksums
5bf6b9a4d0f864815afb593a0f0709bd9aef4e4a246d5119ac8f44243b418ce2
BLAKE2b-256 checksum
How to use checksums
ff85d8ca94fb625a572eab0e7edd8e3c6020d2fefe7264000084c1e8986de0a2
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-0.25.1.2022.1.5.11.42.29.429111-py3-none-any.whl

Download URL RelevanceAI_dev-0.25.1.2022.1.5.11.42.29.429111-py3-none-any.whl
Size 92.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7dc2f17c1ab939ae86c48ba76ca3658b56de3d37ae3cb9122bab5048d5465c79
BLAKE2b-256 checksum
How to use checksums
76620c2b631c54daff3be2b2ebe8d7f4aa6fd3c50f0053bb3f6e95ec5fd85f98
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 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