AcademyWorkflowsData and reporting

Image embeddings from text summaries

Marketing and design teams that manage large photo or product image libraries.

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generating-image-embeddings-via-textual-summarisation.json

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What it does

Makes a photo library searchable by text. The flow reads an image from Google Drive, extracts its colour information, and asks a vision model for a short description with keywords. The image details and its metadata are stored as one text embedding in a vector store, so you can query the images with a plain question.

Use cases

  1. 01Search a photo library by describing the scene
  2. 02Find product photos by keywords and colours
  3. 03Index video frames for a quick text search

Connects

Edit Image · Google Drive · Embeddings OpenAI · Recursive Character Text Splitter · Simple Vector Store · Default Data Loader · OpenAI

Questions about
Image embeddings from text summaries.

What is Image embeddings from text summaries used for?

Marketing and design teams that manage large photo or product image libraries. Makes a photo library searchable by text. The flow reads an image from Google Drive, extracts its colour information, and asks a vision model for a short description with keywords. The image details and its metadata are stored as one text embedding in a vector store, so you can query the images with a plain question.

How do I import Image embeddings from text summaries into n8n?

Copy the workflow JSON from this page and paste it onto the n8n canvas with Ctrl+V or Cmd+V. Then connect your credentials in each node.

Is Image embeddings from text summaries safe to use?

It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.

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