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Last year we added CLIP-based image search to https://immich.app/ and even though I have a pretty good understanding of how it works, it still blows my mind damn near every day. It's the closest thing to magic I've ever seen.
I run it on my iPhone.
Native app. Doesn't require a network connection (great for privacy).
> Queryable is a Core ML model that runs locally on your device. Leveraging OpenAI CLIP's model encoding technology to connect images and text, you can search your iPhone photo album using any natural language input. Most importantly, it is completely offline, so your album privacy will not be revealed to anyone. And, it is open-source: GitHub
I want to do this but for 30GB of PDFs
Last year we added CLIP-based image search to https://immich.app/ and even though I have a pretty good understanding of how it works, it still blows my mind damn near every day. It's the closest thing to magic I've ever seen.
Just needs OCR for the perfect meme searching solution!
We built and open sourced Indexify https://github.com/tensorlakeai/indexify to make it easy to build resilient pipelines to combine data with many different models and transformations to build applications that relies on embedding or any other metadata extracted by models from Videos, Photos and any documents!
I didn’t know about SigClip, the author mentioned on the blog, need to add this to our library :) I also found it incredible that he generated the crawler with Claude! This is the type of boilerplate I hope we don’t have to write in the future
[1] https://www.reddit.com/r/AskReddit/comments/jooo5/reddit_ori...
It should be named "I accidentally a meme search engine" [1]. [1] https://www.reddit.com/r/AskReddit/comments/jooo5/reddit_ori...
This is awesome! We made similar functionality (plus more) available through an API. If anyone is interested to try it out and share feedback, please message me and I’ll hook you up.
I want to do this but for 30GB of PDFs