ManualTrigger Automate

ManualTrigger Automate streamlines image processing by downloading images from Google Drive, extracting color information, and generating semantic keywords using OpenAI. It combines these insights to create an embedding document for efficient vector search, enhancing image retrieval and analysis capabilities.

7/8/2025
22 nodes
Complex
manualcomplexgoogle driveeditimagelangchainsticky noteadvanced
Categories:
Complex WorkflowManual TriggeredCreative Design Automation
Integrations:
Google DriveEditImageLangChainSticky Note

Target Audience

Target Audience


- Digital Marketers: Those looking to analyze and optimize images for campaigns.
- Data Scientists: Professionals interested in image processing and embedding techniques.
- Developers: Individuals building applications that require image analysis and vector search capabilities.
- Content Creators: Creators who want to enhance their images with metadata for better discoverability.

Problem Solved

Problem Solved


This workflow addresses the challenge of extracting meaningful insights from images by automating the process of:
- Downloading images from Google Drive.
- Analyzing color information and generating semantic keywords.
- Creating an embedding document for images, enabling efficient vector searches in databases.

Workflow Steps

Workflow Steps


1. Manual Trigger: The workflow begins when the user clicks the "Test workflow" button.
2. Google Drive Integration: The workflow fetches an image file from Google Drive for processing.
3. Image Analysis: The image undergoes two main analyses:
- Color Information Extraction: Retrieves color channel statistics from the image.
- Image Resizing: Resizes the image to 512x512 pixels if it is larger.
4. Keyword Generation: Generates a list of semantic keywords describing the image using OpenAI's vision model.
5. Combining Analysis Results: Merges the color information and generated keywords into a single document.
6. Embedding Document Creation: Constructs a document that includes metadata for further use.
7. In-Memory Vector Store: Inserts the embedding document into an in-memory vector store for quick retrieval.
8. Search Functionality: Provides a mechanism to search for images based on user-defined prompts, leveraging the stored embeddings.

Customization Guide

Customization Guide


- Change Image Source: Modify the Google Drive file ID to use a different image.
- Adjust Image Resizing: Alter the width and height parameters in the Resize Image node if a different size is needed.
- Modify Keyword Prompt: Customize the text prompt in the Get Image Keywords node to refine the types of keywords generated.
- Vector Store Options: Adjust settings in the In-Memory Vector Store node to change how documents are stored and retrieved.
- Add More Nodes: Expand the workflow by integrating additional nodes for further processing or analysis as per specific needs.