Hacker News Reader

Ada is deprecated: use the text embedding models instead.

It depends on whether you do full text search, or abstract only. If you do full text, I’d guess about 1k tokens per page, 10 pages per paper? So that would be 3B tokens, which would cost you 60$ if you use the cheapest embedder.

If you just do abstracts, the costs will be negligible.

View on HN

this project only uses kaggle metadata and abstract from arxiv. Moreover it is "focused" on only 5-6 categories in the arxiv. Therefore, the costs are marginal.

Plus you could use a mixed system: first you index the abstract of the most relevant 50 papers, then embedd the text of those 50 in order to asses which are truly relevant and/or meaningful.

Reply on news.ycombinator.com