SmarthBakshi/Research-AI
This project is an end-to-end Retrieval-Augmented Generation (RAG) system designed to ingest, parse, embed, and semantically search scientific papers from arXiv.
This project helps researchers, scientists, and students quickly find answers within large collections of scientific papers, specifically from arXiv. You input a question, and it provides a direct answer along with citations to the original papers, acting like an intelligent research assistant. It's designed for anyone who needs to efficiently extract information and insights from academic literature without manually sifting through countless PDFs.
Use this if you need to rapidly search, understand, and get summarized answers from a vast library of scientific research papers.
Not ideal if you need to analyze qualitative data, perform statistical analysis on tabular datasets, or process non-text-based scientific data like images or spectroscopy readings.
Stars
11
Forks
—
Language
Python
License
MIT
Category
Last pushed
Feb 15, 2026
Commits (30d)
0
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