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awesome-llm-apps/chat_with_X_tutorials/chat_with_research_papers
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Madhu 3277f702bb complete phidata -> Agno + few old error corrections
2025-02-03 00:11:12 +05:30
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chat_arxiv.py complete phidata -> Agno + few old error corrections 2025-02-03 00:11:12 +05:30
chat_arxiv_llama3.py complete phidata -> Agno + few old error corrections 2025-02-03 00:11:12 +05:30
README.md chore: update all the README.md about how to go to the desired project directory 2024-12-16 20:21:17 +08:00
requirements.txt complete phidata -> Agno + few old error corrections 2025-02-03 00:11:12 +05:30

README.md

🔎 Chat with Arxiv Research Papers

This Streamlit app enables you to engage in interactive conversations with arXiv, a vast repository of scholarly articles, using GPT-4o. With this RAG application, you can easily access and explore the wealth of knowledge contained within arXiv.

Features

  • Engage in conversational interactions with arXiv
  • Access and explore a vast collection of research papers
  • Utilize OpenAI GPT-4o for intelligent responses

How to get Started?

  1. Clone the GitHub repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/chat_with_X_tutorials/chat_with_research_papers
  1. Install the required dependencies:
pip install -r requirements.txt
  1. Get your OpenAI API Key
  • Sign up for an OpenAI account (or the LLM provider of your choice) and obtain your API key.
  1. Run the Streamlit App
streamlit run chat_arxiv.py