augustwester/searchthearxiv

The code powering searchthearxiv.com, a simple semantic search engine for more than 300,000 ML papers on arXiv.

40
/ 100
Emerging

This project helps researchers and scientists quickly find relevant machine learning papers among hundreds of thousands of entries on arXiv. You input a search query describing the concepts you're interested in, and it outputs a ranked list of papers that are semantically similar to your query. Researchers, academics, and ML practitioners can use this to stay updated or explore specific topics efficiently.

171 stars. No commits in the last 6 months.

Use this if you need to quickly semantically search a large collection of machine learning research papers and want to understand the underlying code for such a system.

Not ideal if you want to run your own copy of the entire search engine; it's primarily an example implementation and requires significant setup.

academic-research literature-review machine-learning-papers scientific-discovery information-retrieval
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 12 / 25

How are scores calculated?

Stars

171

Forks

15

Language

Python

License

GPL-3.0

Last pushed

Apr 21, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/augustwester/searchthearxiv"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.