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You might be interested in this, https://github.com/mazzzystar/Queryable, https://queryable.app/
I run it on my iPhone.
Native app. Doesn't require a network connection (great for privacy).
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.
These hacks/side projects are amazing! I feel we will see a lot of creativity as tools to build data intensive AI applications become easier.
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
I think this is based off Google research https://github.com/google-research/big_vision
I steered a friend towards Paperless (and away from an LLM solution) as a way of searching/accessing GBs of architectural PDFs recently - so far, it’s apparently working well for them.
https://github.com/paperless-ngx/paperless-ngx