ArXiv ChatGuru: Interactive RAG Tool for Scientific Literature
Project Overview
| GitHub Stats | Value |
|---|---|
| Stars | 521 |
| Forks | 69 |
| Language | Python |
| Created | 2023-02-10 |
| License | MIT License |
Introduction
ArXiv ChatGuru is a tool designed to make the vast collection of scientific papers on ArXiv more interactive and accessible. Using LangChain and Redis, it enables users to engage with research in a more engaging way. Here’s how it works: users submit a topic, and the system retrieves relevant papers from ArXiv, chunks them into smaller pieces, generates embeddings, and stores these in a Redis vector database. Users can then ask questions about the retrieved papers, and the system provides the most relevant answers. This project not only simplifies accessing research but also educates on Retrieval Augmented Generation (RAG) systems.
