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Repository to demonstrate Chain of Table reasoning with multiple tables powered by LangGraph

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MultiCoT

Overview

MultiCoT is a repository that demonstrates Chain-of-Table reasoning on multiple tables powered by LangGraph.

Try the hosted demo: https://cyqiq-cot-demo-c27oq5sqda-uc.a.run.app/

Installation

Follow these steps to set up MultiCoT:

  1. Clone the Repository
    git clone https://github.com/CYQIQ/MultiCoT.git
    
  2. Install Dependencies Navigate to the repository directory and run:
    pip install -r requirements.txt
    
  3. Configure API Keys Create a .env file in the root directory. Add your OpenAI API key and LangChain API details as follows:
    OPENAI_API_KEY="..."
    LANGCHAIN_API_KEY="..."
    LANGCHAIN_TRACING_V2="..."
    LANGCHAIN_ENDPOINT="..."
    LANGCHAIN_PROJECT="..."
    

Usage

For detailed instructions on how to run MultiCoT, refer to the CYQIQ_COT.ipynb Jupyter Notebook within the repository.

Data

The data directory includes an example dataset comprised of 6 CSV files necessary to run the notebook. To run MultiCoT with your own data, change the data loading logic and the table descriptions in CYQIQ_COT.ipynb

Help

Feel free to email us at hello@cyqiq.ai

Acknowledgments

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Repository to demonstrate Chain of Table reasoning with multiple tables powered by LangGraph

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