CSPaper-AI : Computer Science Paper Reader

The purpose of this Learning Tool is to serve as an AI for Computer Science Papers, capable of referencing and extracting additional information from OpenAI. The tool displays references to papers and the corresponding response from OpenAI.

Core Features

• Custom Agent
• Qdrant Vector DB for Storing PDFs
• Custom Tools
• Qdrant Document Loader Agent (inprogress)
• An Integrated Simple Streamlit UI, it has basic memory

This tool is highly inspired by llm_agents, Virat's work & ChattierGPT-UI

💾 Installation

1. Navigate to the directory where the repository was downloaded

   cd cspaper-ai

2. Install the required dependencies

   pip install -r requirements.txt

3. Configure OpenAI Key

   • If Using OpenAI key, simply export OPENAI_API_KEY=*****
   • If want to use config file, rename config_template.ini -> config.ini file inside the database_agent dir & update either Azure or OpenAI config

   By completing these steps, you have properly configured the API Keys for your project.

🔧 Usage

Upload Data in Qdrant Vector Database

1. Copy all desired PDFs in a directory
2. Update the directory path in ./config.py >> pdf_uploadpath
3. Run the command

   python -m paperai upload

Its a 1 time job and once, the pdfs are loaded then user can ignore this step for next runs

Run the Tool

python -m paperai run

Known Issues

1. The Qdrant Vector Database is currently not operating in server mode, therefore document uploads are only permitted once. If new PDFs are to be added, it is necessary to delete the collection using client.delete_collection(collection_name="test_papers") and then re-upload the documents.