Execute workflows

Already setup python notebooks that can be executed with a single click

We employ strong toolkits and python libraries to perform tasks such as vectorizing, clustering, dimensionality reduction, etc. However, our goal is to provide a code-free platform. To achieve that, we set up our workflows in two ways:

1- On the cloud

"Workflows on the cloud" is the latest step in our journey to a no-code platform.

To use this option, simply click on "Run on the Cloud (beta)" in the last step of setting up a workflow.

Relevance AI - Execute a workflow on the cloudRelevance AI - Execute a workflow on the cloud

Relevance AI - Execute a workflow on the cloud

This will execute the workflow in the background and you will be notified of the progress under the workflow progress table

Relevance AI - Execute a workflow on the cloudRelevance AI - Execute a workflow on the cloud

Relevance AI - Execute a workflow on the cloud

When a workflow finishes successfully, it will be marked with "Completed", meaning you can access the results under your dataset.

2- Google Colab notebooks

Google Colab is a Python platform and freely accessible to anyone owning a google account. We have set up all the code and all you need to do is to activate it.

  1. Click on "Run in Colab (Stable)" in the last step of setting up a workflow. This will automatically copy an access token to your computer and direct you to a new page.
Relevance AI - Execute a workflow on Google ColabRelevance AI - Execute a workflow on Google Colab

Relevance AI - Execute a workflow on Google Colab

  1. Then first paste the token in the specified space as shown below, and click on the play button.
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Relevance AI - Execute a workflow on Google Colab

Grant permission to run the code by clicking on "Run anyway".

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Relevance AI - Execute a workflow on Google Colab

The workflow will start by first installing the required libraries (on Google Colab, not your computer). And then your dataset will be updated based on the workflow you are executing.
Keep an eye on the messages written on the page. They show the progress, when the task is finished and if any problems occurred while running the workflow. The following image shows a sample output of a successful run.

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Relevance AI - Execute a workflow on Google Colab