Skip to main content

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 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 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

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file RelevanceAI-dev-0.25.1.2022.1.5.11.42.29.429111.tar.gz.

File metadata

  • Download URL: RelevanceAI-dev-0.25.1.2022.1.5.11.42.29.429111.tar.gz
  • Upload date:
  • Size: 69.5 kB
  • Tags: Source
  • Uploaded using 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

File hashes

Hashes for RelevanceAI-dev-0.25.1.2022.1.5.11.42.29.429111.tar.gz
Algorithm Hash digest
SHA256 5bf6b9a4d0f864815afb593a0f0709bd9aef4e4a246d5119ac8f44243b418ce2
MD5 382c2c98b3dfaff9d6fd3a7feb6c5f1a
BLAKE2b-256 ff85d8ca94fb625a572eab0e7edd8e3c6020d2fefe7264000084c1e8986de0a2

See more details on using hashes here.

File details

Details for the file RelevanceAI_dev-0.25.1.2022.1.5.11.42.29.429111-py3-none-any.whl.

File metadata

File hashes

Hashes for RelevanceAI_dev-0.25.1.2022.1.5.11.42.29.429111-py3-none-any.whl
Algorithm Hash digest
SHA256 7dc2f17c1ab939ae86c48ba76ca3658b56de3d37ae3cb9122bab5048d5465c79
MD5 128ac9a6afac651e361d85620bc2e9ca
BLAKE2b-256 76620c2b631c54daff3be2b2ebe8d7f4aa6fd3c50f0053bb3f6e95ec5fd85f98

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page