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Comments (4)

• netdur
  I tried TQ for vector search and my findings is not good, it is not worth it if you cannot use GPU, however I got same quality of search as 32f using 8bit quantI wrote ann ext for sqlite, using tq, I do save a lot on space but 32f is still faster despite everything I have triedcode here https://github.com/netdur/munind/tree/main/src/tq
• glohbalrob
  Very cool. I added the new multi embedding 2 model to my site the other week from googleI guess need to dig into this and see if it’s faster and has more use cases! Thanks for publishing your work
• hhthrowaway1230
  Awesome! Also love the gaussian splat demo, cool use case!
• refulgentis
  Sloppiest slop I've seen in a couple weeks:- fork of a fork of a quantization technique- Only contribution is...compiling JS to WASM by default?- suspicious burst of ~nothing comments from new accounts- 6 comments 7 hours in, 4 flagged/dead, other 2 also spammy, confused and making category errors at best, at worst, more spam.- Demo shows it's worse: 800 ms instead of 2.6 ms for text embedding search- "but it saves space" - yes! 1.2 MB in RAM instead of 7.2 MB to turn search into 1s on a MacBook Pro M4 Max, instead of sub-frame duration.- It's not even wrong to do this with the output embeddings, there's way more obvious ways to save space that don’t affect retrieval time this much
• himmelsee2018
  [flagged]
• newbrowseruser
  [dead]
• bingbong06
  [flagged]
• aritzdf
  [flagged]