nblgbg 3 hours ago

Just curious, are there any techniques other than using embeddings, computing cosine similarity, and sorting the results based on that? RRF could be used but again its very simple as well.

sitkack 5 hours ago

embedding search via https://searchthearxiv.com/ takes either a word vector, or an abs or pdf link to an arxiv paper.

https://news.ycombinator.com/item?id=42519487

I just did a spot check, I think searchthearxiv search results are superior.

  • masterjack 4 hours ago

    There’s also the search and browsing on https://sugaku.net, it’s more focused on math but does also have all of the arxiv on it

  • 0101111101 4 hours ago

    Looks cool! You can input either a search query or a paper URL on arxiv xplorer. You can even combine paper URLs to search for combinations of ideas by putting + or - before the URL, like `+ 2501.12948 + 1712.01815`

elliotec 6 hours ago

This is really cool, and very relevant to something I'm working on. Would you be willing to do a quick explanation of the build?

  • 0101111101 5 hours ago

    Sure! I first used openai embeddings on all the paper titles, abstracts and authors. When a user submits a search query, I embed the query, find the closest matching papers and return those results. Nothing too fancy involved!

    I'm also maintaining a dataset of all the embeddings on kaggle if you want to use them yourself: https://www.kaggle.com/datasets/tomtum/openai-arxiv-embeddin...

    • heisenburgzero 2 hours ago

      So did you just combine Title+Abstracts+Authors into a single chunk and embed them or embedded them individually?

bbor 5 hours ago

Oh god, there's a medrxiv?? TIL...

Don't forget chemrXiv!

  • 0101111101 5 hours ago

    Sadly I couldn't find a public API for chemrxiv, but would be happy to be proven wrong!