Show HN: Scholium, Your Own Research Assistant

I built an AI-powered research agent designed to efficiently discover, summarize, and cite relevant academic papers based on user queries.

As a university student, I've written my share of essays and have also served as a copy editor for our student newspaper. During fact-checking, I noticed that Google often prioritizes unreliable and unscholarly resources—such as Medium articles, Reddit posts, and LinkedIn content—in its top results over scholarly ones. For instance, searching "Transformers" yields six blogs and articles before finally listing the Vaswani (2017) paper. This makes gathering credible sources and verifying facts tedious and time-consuming.

I realized that much of the repetitive work involved in fact-checking and source collection could be streamlined using a vector database paired with a retrieval model, inspiring me to create Scholium, an AI-driven research assistant that recommends and summarizes academic papers relevant to your queries. Currently, Scholium has access to all papers on arXiv, and my plan is to make Scholium into a search engine for research, kinda like a Google or Perplexity for papers. Please check out the repository, give it a star, and let me know your thoughts—I would greatly appreciate your feedback!

Web App: https://www.scholium.ai/

Repo: https://github.com/QDScholium/ScholiumAI

Comments URL: https://news.ycombinator.com/item?id=43261014

Points: 3

# Comments: 0

https://github.com/QDScholium/ScholiumAI