🖥️Simple-Graphrag

This is a project bout GraphRAG Chat UI/input and configuration This initiative is an adaptation of Microsoft's GraphRAG core. This project features a comprehensive and interactive user interface designed to enhance your experience using graphrag.

😍Key Features

• Interactive User Interfaces: Enjoy a rich and engaging UI for all your needs.
• Prompt-Tuning: Fine-tune prompts for optimal performance with ui integrated.
• Querying: Efficiently query and retrieve information.

🪄preview

settings

Configure your settings easily in the .env file.

indexing

Indexing process overview.

chat ui

Initial chat UI setup.

Chat interface in action.

Search information within the chat UI.

🎢Getting Started

To get started with this project, please follow the instructions below:

1. Clone the Repository:

   git clone https://github.com/thethepai/Simple-Graphrag.git

2. Install Dependencies:

   poetry is strongly recommended to load and develop this project

   cd Simple-Graphrag
   pip install poetry
   poetry install

3. Run the Application:

   cd Simple-Graphrag
   poetry run poe run_app

📄Documentation

For detailed usage, please check the start page in the app and refer to the microsoft graphrag wiki:Welcome to GraphRAG (microsoft.github.io)

🪟TODOs

• Fastapi support

  • Streamlit has high overhead and poor performance for backend tasks. FastAPI offers better performance and scalability.

• Nextjs frontend

  • Streamlit's frontend capabilities are limited and not suitable for complex UI requirements. Next.js provides a more robust and flexible frontend framework.

• Neo4j ui

  • use neo4j to manage graph data easily

• Query rewrite and multi session improve

  • Rewriting user queries can improve recall rates. Enhancing multi-turn conversations with reference replacement can improve user experience.

• File processor about xlsx

  • Handle multiple tables, complete missing table information, and split tables into sections in a smart way.