Generating Image Embeddings via Textual Summarisation

This n8n template demonstrates an approach to image embeddings for purpose of building a quick image contextual search. Use-cases could for a personal photo library, product recommendations or searching through video footage. How it works A photo is imported into the workflow via Google Drive. The photo is processed by the edit image node to extract colour information. This information forms part of our semantic metadata used to identify the image. The photo is also processed by a vision-capable model which analyses the image and returns a short description with semantic keywords. Both pieces of information about the image are combined with the metadata of the image to form a document descri

Help me set up the n8n workflow "Generating Image Embeddings via Textual Summarisation" (https://n8n.io/workflows/2344). It uses: Edit Image, Google Drive, Embeddings OpenAI, Recursive Character Text Splitter, Simple Vector Store, Default Data Loader, OpenAI. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.