---
title: "Pipelines"
slug: "pipelines"
updated: 2025-08-21T03:09:18Z
published: 2025-08-21T03:09:18Z
canonical: "docs.akridata.ai/pipelines"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.akridata.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Pipeline operations

The **'Pipelines'** page is available on the left navigation panel at **Data > Processing Options > Pipelines**, as shown below.

![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/pipelines-menu.jpg)

The default listing has a list of pre-registered pipelines provided by Data Explorer out-of-the-box and can be identified with the 'Akridata' badge, as shown. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/pipelines-page.jpg)

## Copy and customize a pre-registered pipeline

A new pipeline can be created by copying and customizing an existing pipeline. This flow can be used to build a pipeline starting from a pre-registered pipeline as the base.

1. On the pipelines page, click the 3-dot icon on the card corresponding to the pipeline to be used as the base.

![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/Screenshot%20from%202023-02-11%2022-21-01.png)
2. Click the **Make a copy** option.
3. Fill in the pipeline name and description and edit the docker images to override the base pipeline docker images.

![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/copy-pipeline.png)
4. Click the **Save Pipeline** button.

## Create a new pipeline

1. Click the **+Pipeline** button on the top-right corner of the **Pipelines** page.

![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/ceate-pipeline.jpg)
2. Fill in the pipeline name, description, and data type for which this pipeline is valid.
3. Select the docker images for each pipeline module from the drop-down list. The 'Preprocessor', 'Featurizer' and 'Thumbnail Generator' are mandatory modules to be selected. For the pre-processor, 'AkridataImagePreprocessor' is a passthrough pre-processor that must be selected if there is no specific pre-processing to be executed.
4. Click the **Save Pipeline** button.

## Edit a pipeline

1. On the card corresponding to the pipeline to be edited, click on the **'Edit'** button.

![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/edit-pipeline.png)
2. On the form presented, edit the fields that are available for editing, like the pipeline name, pipeline description and thumbnail generator docker image.

![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/Screenshot%20from%202023-02-11%2022-38-36.png)
3. Click **Save Pipeline**.

Editing pre-processor and featurizer

The pre-processor and featurizer directly impact the features generated for an image/frame, potentially resulting in the incompatibility of features generated before and after pipeline edit operation. Hence these docker images are not allowed for editing. Please make a copy and create a new pipeline if these docker images must be modified.

## Delete a pipeline

1. On the card corresponding to the pipeline to be deleted, click the **Delete** button.

![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/delete-pipeline.png)
2. Confirm the deletion by clicking **Ok** on the confirmation prompt.

![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/Screenshot%20from%202023-02-11%2022-48-40.png)

Deleting pipeline with attached datasets

Deleting a pipeline that has attached datasets will fail. Please detach all datasets and then delete the pipeline.

## View pipeline details

1. On the card corresponding to the pipeline whose details are required, click on the pipeline name as shown below.

![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/view-pipeline-details.png)
2. This shows the details of the pipeline, such as the Pipeline Name, Pipeline Description, and so on.

![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/view-pipeline-details.jpg)