In our latest release, we've integrated a vector database into our on-device machine learning infrastructure, making search noticeably faster and people suggestions more accurate.
All of our work is open source @ https://github.com/ente-io/ente
In our latest release, we've integrated a vector database into our on-device machine learning infrastructure, making search noticeably faster and people suggestions more accurate.
All of our work is open source @ https://github.com/ente-io/ente
@ente An advertisement for the "ente photos" app on a dark green grid background. The top left shows "Faster Search" with "Faster" in white and "Search" in green text, and "ente photos" appears in the top right corner with "ente" in white and "photos" on a green badge. A smartphone screen displays the time "9:09", the search term "birthday party", profile icons for Jane and Emily, tags like David, Celebrations, and Hospital, and photos of people at a birthday party (including individuals holding drinks and a child in a pink shirt). A green search button labeled "Q birthday party" is overlaid on the phone screen, accompanied by a large yellow arrow to the right. An "e" logo is positioned in the bottom right corner of the image.
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