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-0.24.9.2022.1.4.4.9.49.266205.tar.gz.

File metadata

  • Download URL: RelevanceAI-dev-0.24.9.2022.1.4.4.9.49.266205.tar.gz
  • Upload date:
  • Size: 65.6 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-0.24.9.2022.1.4.4.9.49.266205.tar.gz
Algorithm Hash digest
SHA256 0c04f2ea4a876c27594d3b712fe3a4df1e89fe314f6b01b89c58e6917b745628
MD5 3e54b35988dd429ee8cb338627dd6bff
BLAKE2b-256 2dd14d31d429206e69640d24a9d3f3eda90a308796dd384fa020c9c8d4fcd91a

See more details on using hashes here.

File details

Details for the file RelevanceAI_dev-0.24.9.2022.1.4.4.9.49.266205-py3-none-any.whl.

File metadata

File hashes

Hashes for RelevanceAI_dev-0.24.9.2022.1.4.4.9.49.266205-py3-none-any.whl
Algorithm Hash digest
SHA256 7bcb230f33fb9f17594e378d02acb969b20d211a0fb24148a57c789e1e018186
MD5 f4771ecb8c1ae35c931210cc44fd608a
BLAKE2b-256 870461e0ba937d217d6279111e93cdebfb902a67b61c5757ce62f77f06f6dd93

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