Is this your channel?
LINK TO NOTEBOOK
This Colab notebook is the fastest way to reproduce what I demo: embedding text, images, and audio into one vector space and doing cross-modal retrieval. If you want to understand how unified embeddings behave (and why they matter), run this and inspect the similarity results.
Pros
- +Hands-on example for cross-modal search (text/image/audio)
- +Good starting point for adapting into your own retrieval pipeline
Cons
- -You’ll need a Gemini API key to run it
- -It’s a demo notebook, not a production-ready app
Featured in this video
LINK TO NOTEBOOK
Available on Colab
External purchase
Highlights
- +Hands-on example for cross-modal search (text/image/audio)
- +Good starting point for adapting into your own retrieval pipeline
Recommended by
Prompt Engineering