User Guide

How to customize
pre-built AI pipelines
on WindyFlo

How to customize
pre-built AI pipelines
on WindyFlo

Who is this guide for?

Who is this guide for?

Developers, product managers, and entrepreneurs who want to integrate AI functionality into their apps or websites without complicated coding or expensive computing resources.

Developers, product managers, and entrepreneurs who want to integrate AI functionality into their apps or websites without complicated coding or expensive computing resources.

First, sign up or log-in to WindyFlo.

First, sign up or log-in to WindyFlo.

  1. Fork a pre-built pipeline.

  1. Fork a pre-built pipeline.

1) On the menu, go to Pipeline Hub and select a pipeline.

1) On the menu, go to Pipeline Hub and select a pipeline.

Search or scroll down to select a pipeline that is close to the one you're trying to build.

Click 'Create Pipeline'
Click 'Create Pipeline'

2) Review the pre-built pipeline and click 'Fork.'

2) Review the pre-built pipeline and click 'Fork.'

By 'forking,' you will

  1. Customize the pipeline.

  1. Customize the pipeline.

1) Fill in the pipeline details, then click Create AI Model Pipeline.

1) Fill in the pipeline details, then click Create AI Model Pipeline.

  • Pipeline Name: Name your pipeline.

  • Description: Summarize the purpose of the pipeline.

  • Tags: Add tags to make your pipeline easier to discover.

  • Public/Private: Choose whether to keep the pipeline public or private*.
    (*Private pipelines are available for paid plans users.)

2) Select Pipeline on the left-side menu.

2) Select Pipeline on the left-side menu.

This will open your workspace for this pipeline.

3) Add new nodes or modify the parameters of existing nodes to customize the pipeline.

3) Add new nodes or modify the parameters of existing nodes to customize the pipeline.

  • Inputs are on the left, and outputs are on the right of each node.

  • Click and drag to connect node points with matching input/output types.

4) Connect the nodes.

4) Connect the nodes.

For instance, if you selected the Document Retrieval Q&A pipeline, you can upload your own [.txt] or [.pdf] files by clicking on the upload option in the Text File or PDF File nodes.

  1. Save and test-run.

  1. Save and test-run.

1) Click Save, and then click Run.

1) Click Save, and then click Run.

2) Type a command to test the pipeline.

2) Type a command to test the pipeline.

  1. Share the Pipeline

  1. Share the Pipeline

To share via API

To share via API

1) Save your pipeline, and then click 'Embed as API.'

1) Save your pipeline, and then click 'Embed as API.'

To make it accessible via API or embedded on a website.

2) Choose your preferred language (HTML, React, Python, JavaScript, or CURL) and copy-paste the generated code into your service.

2) Choose your preferred language (HTML, React, Python, JavaScript, or CURL) and copy-paste the generated code into your service.

To use as chatbot

1) Alternatively, to share it as a chatbot with no additional integration, select Share Chatbot.

1) Alternatively, to share it as a chatbot with no additional integration, select Share Chatbot.

  • This feature is only available for pipelines that function as chatbots.

  • Pipelines designed for data processing may not support this feature.

2) Customize the chatbot settings (e.g., title, welcome message) and click the new tab icon to launch.

2) Customize the chatbot settings (e.g., title, welcome message) and click the new tab icon to launch.

  • Left icon: Copy link

  • Right icon: Open link

3) Test your chatbot by entering a query in the "Type your question..." field.

3) Test your chatbot by entering a query in the "Type your question..." field.

  • Once testing is complete, copy the link and share it with your audience!

Start building custom AI features

Start building custom AI features

without coding or AI expertise.

without coding or AI expertise.

(주)하마다랩스
대표: 방승애
사업자번호 : 509-86-02950 / 통신판매등록 : 2024-성남분당A-0973
경기 성남시 분당구 대왕판교로645번길 12 경기창조경제혁신센터 8층 R18
전화 : +82-2359-6721

WindyFlo

For business

For developers

Resources

FAQ

Learning Center

Help Center

© 2025 Copyright Hamadalabs Inc. All rights reserved.

(주)하마다랩스
대표: 방승애
사업자번호 : 509-86-02950 / 통신판매등록 : 2024-성남분당A-0973
경기 성남시 분당구 대왕판교로645번길 12 경기창조경제혁신센터 8층 R18
전화 : +82-2359-6721

WindyFlo

For business

For developers

Resources

FAQ

Learning Center

Help Center

© 2025 Copyright Hamadalabs Inc. All rights reserved.