Thanks for the help ref https://fediscience.org/@sbrl/113726310893898548, Fediverse
! 💕 I thought I'd do a poll of some of the suggestions.
Vote will decide the name, tho I will have the final say o/ 📊
#AI #SelfHosting #OpenSource #SearchEngines #WellOneImBuilding #NamingThings #IsHard #NamingThingsIsHard #TheHigherCharacterLimitIsAwesome
imgscout
sifty
sifter
something else (comment)
Starbeamrainbowlabs (@[email protected])
Attached: 2 images HELP ME Fediverse :fediverse: ! 🥺 I need a name for an open source :opensource: project I'm working on. Please suggest anything in comments! I'm kinda stumped. It's a self-hosted AI-enhanced image search engine - see rough design sketches attached. --------- The Plan™: Basically it'll index all images in a given directory with 2 mechanisms: 1. Exif / meta data + filepaths 2. AI (currently CLIP) embeddings → vector DB ....then there'll be a web interface that lets you enter search terms & filter by various things like filename, exif fields, etc Quite early in development, but got the embedding worker done today! Aim is for it to run comfortably on a Raspberry Pi 4 that also has other things running on it. Still to do: - 🌐 Web interface - 🌄 Exif indexer - 🥔 Quantise CLIP etc for lower resource usage, go looking for better models - :opensource: Open source the code, but need a name for the project first! - 💭 Lotsa stuff I forget Tech: - 🟢 Node.js (pure JS libraries where possible) - 🍇 VectorDB: https://www.npmjs.com/package/hnsw (potential issue: this is in-memory or IndexedDB) - 🌄 Exif DB: https://www.npmjs.com/package/njodb ('cause I hate working with databases 'cause they're boring - sql ESP) - :python: Python worker 4 embedding/AI stuff: PyTorch, CLIP #AI #SelfHosting #OpenSource #NamingThings #IsHard #NamingThingsIsHard