phitrann/arXivRAG
A comprehensive tool designed to enhance the retrieval and generation of academic content from the arXiv database, leveraging advanced Retrieval-Augmented Generation (RAG) techniques.
This tool helps researchers, students, and enthusiasts quickly understand academic papers from arXiv. You input a query about a scientific topic, and it returns summaries, insights, or analyses from relevant papers. It streamlines the process of discovering and comprehending academic content without manually sifting through many articles.
No commits in the last 6 months.
Use this if you need to rapidly get key insights or summaries from academic papers on arXiv for your research, studies, or general interest.
Not ideal if you need to perform detailed, manual qualitative analysis or deep dives into specific methodologies within a paper, as it provides generated summaries rather than full critical review.
Stars
13
Forks
—
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 30, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/phitrann/arXivRAG"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
stanford-oval/storm
An LLM-powered knowledge curation system that researches a topic and generates a full-length...
emergentmethods/asknews-python-sdk
Infusing news into any LLM with a single line of code
kindsmiles/pyvigate
Pyvigate: A Python framework that combines headless browsing with LLMs that assists you in your...
Alibaba-NLP/CHRONOS
Repo for NAACL 2025 Paper "Unfolding the Headline: Iterative Self-Questioning for News Retrieval...
mytechnotalent/pa
A Personal Assistant leveraging Retrieval-Augmented Generation (RAG) and the...