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Alcove - Local Semantic Search
Index your world. Share it with the universe. Plugins for HF
Search your own documents locally. No server, no sign-up, no data leaves your machine. No AI runtime required. Local semantic search plus a plugin system so you can run your own local inference. Alcove runs on your machine, indexes your files, and never sends a byte anywhere. Your documents stay on your disk. The search index stays on your disk. When you search, or when an AI tool needs to look something up, Alcove answers from what you have locally. No cloud. No account. No trust required.
Vector databases are amazing tools, but they are under utiliized. Alcove came about from a desire to search my local disk across file types: text, audio, photo, and video.
The plugins system came after that. Alcove uses optional llm models to generate rich metadata on many file types.
The most novel of these plugins is for analyzing audio for bird song using Cornell's ornithology models to identify bird species and migration patterns; all from throw away audio from a video call.
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About Alcove - Local Semantic Search on Product Hunt
“Index your world. Share it with the universe. Plugins for HF”
Alcove - Local Semantic Search was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #23 on the daily leaderboard. Search your own documents locally. No server, no sign-up, no data leaves your machine. No AI runtime required. Local semantic search plus a plugin system so you can run your own local inference. Alcove runs on your machine, indexes your files, and never sends a byte anywhere. Your documents stay on your disk. The search index stays on your disk. When you search, or when an AI tool needs to look something up, Alcove answers from what you have locally. No cloud. No account. No trust required.
Alcove - Local Semantic Search was featured in Developer Tools (511.7k followers), Artificial Intelligence (467.3k followers), GitHub (41.2k followers) and Search (18k followers) on Product Hunt. Together, these topics include over 180k products, making this a competitive space to launch in.
Who hunted Alcove - Local Semantic Search?
Alcove - Local Semantic Search was hunted by John Malone. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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John Malone