1.3 KiB
1.3 KiB
Election Analytics Chatbot
Overview
This project is an Election Analytics Chatbot built with a modern, stateful, and graph-based architecture. It is divided into a backend (Python, LangGraph) and a frontend (React, TypeScript).
Project Structure
- Backend: Python-based LangGraph agent for data analysis and query processing.
- Frontend: React application for user interaction.
Key Technologies
- Backend: LangGraph, LangChain, OpenAI/Google Gemini, PostgreSQL.
- Frontend: React, TypeScript, Vite.
Documentation
- Backend Guide: Detailed information about the backend architecture, migration goals, and implementation steps.
- Frontend Guide: Frontend development guide and technology stack.
- LangChain Docs: See the
langchain-docs/folder for local LangChain and LangGraph documentation.
Git Operations
- Branches should be used for specific features or bug fixes.
- New branches should be created from the
mainbranch andconductorbranch. - The conductor should always use the
conductorbranch and derived branches. - When a feature or fix is complete, use rebase to keep the commit history clean before merging.
- The conductor related changes should never be merged into the
mainbranch.