r/LocalLLaMA: an open-source Mac app searches your files by what is in them, locally
A well-received example of running a new multimodal embedding model entirely on your own machine.
A developer shared DigUp, a free Mac app that runs Google DeepMind's EmbeddingGemma 2 locally through llama.cpp so you can search text, images, audio and video by description, such as "where they talk about sleep" in a podcast, and jump to the moment. The poster says the model download is 865 MB and indexing peaks under 2 GB of memory. The top reply praised it as how self-promotion should be done; others asked for a command-line version.
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Semantic search
After exploring Open-source Mac app that runs EmbeddingGemma 2 locally to search your files by what’s in them, the idea it puts on a laptop is Semantic search.
Search by meaning and intent instead of literal word matches.
Wikipedia · Wade · 5 min
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