Image Embedding with Color and Keywords

Name: Image Embedding with Color and Keywords
Rating: 5.0 (1 reviews)
Author: Free N8N

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Image ProcessingAIGoogle Drivecolor analysisembeddingimagekeyword generationvector store

Embeds images by extracting color information and generating keywords for vector search.

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About This Workflow

Overview

This workflow demonstrates how to prepare image data for embedding into a vector store. It extracts color information from an image and generates descriptive keywords using an AI model. The combined data and metadata are then formatted into a document suitable for ingestion into a vector database.

Key Features

Downloads an image from Google Drive.
Extracts color channel statistics and background color.
Resizes image to 512x512 for optimal AI model performance.
Generates keywords for the image using an AI model.
Creates a structured document with image data and metadata.
Includes important disclaimers regarding medical image analysis.

How To Use

Prerequisites: Ensure you have a Google Drive account with the image you want to embed and an OpenAI API key configured in n8n.
Trigger: Run the workflow manually by clicking "Test workflow".
Image Download: The workflow will download the specified image from Google Drive.
Image Processing: The image will be analyzed for color information and resized.
Keyword Generation: An AI model will generate keywords based on the image content.
Document Creation: A document will be created containing the image's color data and generated keywords, along with relevant metadata (format, background color, filename).
Vector Store Ingestion: The prepared document can then be sent to a vector store (e.g., using another n8n node not shown in this snippet) for search and retrieval. Remember to define the same metadata fields in your vector store index.

Apps Used

Google Drive

color analysis

embedding

image

keyword generation

vector store

Workflow JSON

{
  "id": "0831b21a-a20c-4fde-bc14-7b94e348aa94",
  "name": "Image Embedding with Color and Keywords",
  "nodes": 0,
  "category": "Image Processing",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.