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Published 20 hours ago • verified publisher icon gnes-ai

Scalability Benchmarking and combining text and image

Open Better-Boy opened this issue 5 years ago • 1 comments

I have 3 questions:

  1. How will I combine Text and Image instead of text to text, image to image...? Example: Consider there is a product which has images as well as textual information, how will I use GNES to get the most similar matching product from the index?

  2. How scalable is this solution? Can I index 100 million images or text?

  3. What to do if I want to save the indexes to database and load them during run time?

Better-Boy avatar Oct 22 '19 12:10 Better-Boy

Also very interested in the scaling question...

In particular, if you wanted to index an entire scientific literature dump (say, 100s of millions of papers), is this feasible?

JohnGiorgi avatar Nov 02 '19 02:11 JohnGiorgi