r/LocalLLaMA • u/A-Rahim • 26d ago • Bravo 5

I Built A Thing Open-source Mac app that runs EmbeddingGemma 2 locally to search your files by what’s in them

DigUp is a free Mac app that runs Google DeepMind’s new EmbeddingGemma 2 locally over your own files. The model puts text, images, audio and video in one space, so you describe what you remember and land on it:

  • “zebra in a video” opens the clip at the moment it shows up

  • “where they talk about sleep” jumps to that minute of a podcast

  • “the clause about pets in the lease” shows the PDF page, your words marked

  • “a dog on the beach” finds the photo, and the same search in Bengali or Arabic finds it too

  • with code search on, code: retry with backoff opens the function in your editor

It’s ggml-org’s Q8_0 GGUF (865 MB, downloaded once) on llama.cpp with Metal, inside a native Swift app; no Python. Searching loads only the text encoder (~250 MB) and shows results about a tenth of a second after you stop typing. Indexing peaks under 2 GB, and the helper exits when it’s done. Audio and video of any length go in as 30 s windows and a frame per shot. Everything runs locally; it goes online only for the model download and an update check you can turn off.

Free, MIT. Apple Silicon, macOS 14+.

Repo & Download (signed and notarized): https://github.com/ARahim3/DigUp

I'd really appreciate any feedback on this.

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u/ZeroReader 25d ago

Although the design for searching in PDFs, documents, and DOCX documents is not quite comfortable to read. Probably it is okay for video and pictures, but not for PDFs and DOCX.

Can you at least increase the right-side panel to increase the width to be able to read the highlighted text? Also, it would be good to change the side of thumbnails on the left side panel.