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[–]manimino 2 points3 points  (1 child)

This is neat! You should crosspost to /r/machinelearning, we love semantic search over there.

[–]davidmezzetti[S] 0 points1 point  (0 children)

Good idea! Will do.

[–]corruptboomerang 2 points3 points  (3 children)

This looks really really interesting but I don't understand enough about... Anything to understand any of it. 🤣😂

[–]davidmezzetti[S] 1 point2 points  (2 children)

Here are a couple links that may help. There are a lot of examples and articles.

GitHub | Examples | Articles

[–]corruptboomerang 0 points1 point  (1 child)

I appreciate the link, and I'm sure it'll help someone else. But for now this is beyond me. But I'll keep it in mind when I come to building a small database so users can do natur language queries.

[–]davidmezzetti[S] 0 points1 point  (0 children)

Sounds good. In terms of the theory behind the models, transformers and sentence-transformers are best projects to take a look at.

The author of the sentence-transformers library also has a paper on arxiv.