CHAIN OF TABLE LANGGRAPH

Overview

This repository that demonstrates Chain-of-Table reasoning on multiple tables, which is SOTA research by folks at Google and Stanford powered by LangGraph.

Getting started

Follow these steps to set up:

1. Clone the Repository

   git clone https://github.com/aaliyan1230/chain-of-table-langgraph.git
   

2. Configure environment Navigate to the repository directory and run:

   python -m venv venv
   

   source venv/bin/activate
   

3. Install Dependencies Navigate to the repository directory and run:

   pip install -r requirements.txt
   

4. Configure API Keys Create a .env file in the root directory. Add your OpenAI API key and LangChain API details as follows, if you don't require logging via langsmith, only openai key would do fine too:

   OPENAI_API_KEY="..."
   LANGCHAIN_API_KEY="..."
   LANGCHAIN_TRACING_V2="..."
   LANGCHAIN_ENDPOINT="..."
   LANGCHAIN_PROJECT="..."
   

Usage

run the main.py as a python script to run the implementation in a terminal python chain_of_table/main.py

Data

present inside the data/ directory