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Chat With Research Papers
About this app
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.
- Complete open-source code
- Step-by-step tutorial
- Runs on your computer
Technical sheet
- Category
- Chat with Your Data
- Difficulty
- Easy
- Models
- OpenAI, Llama
- Frameworks
- Agno, Ollama (local)
- Runs locally?
- Yes (Ollama)
- Required keys
- None
License Apache-2.0 · content curated and maintained by Doutor AI.
Full tutorial
🔎 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?
- 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- Install the required dependencies:
pip install -r requirements.txt- Get your OpenAI API Key
- Sign up for an OpenAI account (or the LLM provider of your choice) and obtain your API key.
- Run the Streamlit App
streamlit run chat_arxiv.pyFrom the same category
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