ArXiv Chatbot: Interactive Research Assistant

ArXiv Chatbot is a Streamlit-based research assistant that allows you to search, download, and interactively chat about arXiv papers using advanced language models. The app provides a user-friendly interface for exploring research topics, asking questions, and viewing source documents for each answer.

Source Code can be found at https://www.twine.net/signin

Features

• Search arXiv: Find papers by topic or keyword directly from the app.
• Download & Index: Download selected papers and build a searchable vector database.
• Chat with Papers: Ask questions about the papers and get answers with references to the original documents.
• Source Transparency: Every answer includes clear references to the documents used.
• Robust Downloading: Improved error handling, retry logic, and rate limiting for reliable paper downloads.

Usage

1. Search for Papers: Enter a topic or keywords in the “Search ArXiv” tab.
2. Download & Index: Select the number of papers to download and initialize the chat.
3. Chat: Switch to the “Chat” tab and ask questions about the downloaded papers. Each answer will include references to the source documents.

Next Steps

• Add a UI interface for advanced ArXiv search to combine and ignore multiple queries based on arXiv API documentation.
• Add an option to create a new chat, which creates a new database and chat log with a unique session id, creating separation from past context.
• Add an upload option for papers from local machine.

Credits

• Built with [Streamlit](https://www.twine.net/signin [LangChain](https://www.twine.net/signin and [arXiv](https://www.twine.net/signin