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 · 6h ago
embedding search via https://searchthearxiv.com/ takes either a word vector, or an abs or pdf link to an arxiv paper.
I just did a spot check, I think searchthearxiv search results are superior.
masterjack · 5h 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 · 5h 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 · 7h 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 · 6h 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!
So did you just combine Title+Abstracts+Authors into a single chunk and embed them or embedded them individually?
synctext · 1h ago
Impressive!
Will you parse the papers in the future? Without citations this is not that usable for professors or scientists in general. The relevance ranking largely depends on showing these older, prominent papers.
(from our lab experience building decentralised search using transformers)
madars · 7h ago
Looks great! Could you add eprint.iacr.org (Cryptology ePrint Archive)?
https://news.ycombinator.com/item?id=42519487
I just did a spot check, I think searchthearxiv search results are superior.
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...
Don't forget chemrXiv!
https://chemrxiv.org/engage/chemrxiv/public-api/documentatio...