Automated Image Analysis and Embedding Workflow

This n8n workflow is designed to automate the process of analyzing an image, generating descriptive keywords, extracting color information, and storing the data for efficient image search and retrieval. The workflow begins with a manual trigger, typically initiated by clicking ‘Test workflow,’ allowing for on-demand processing. It downloads an image from Google Drive, extracts color channel data, then uses OpenAI’s vision model to generate semantic keywords. These insights are combined into a comprehensive embedding document, which is stored in a vector database for quick similarity searches. Practical for image search engines, digital asset management, or any scenario requiring nuanced image metadata management, this workflow demonstrates how AI and vector search can streamline visual data organization.