RagPool enables real-time data processing across a distributed system, utilizing auto-scaling capabilities for optimized performance management.
RagPool is aimed at developers who need a straightforward, dependable solution.
Highlights
- RagPool enables real-time data processing
- across a distributed system, utilizing
- auto-scaling capabilities for optimized performance
- RagPool enables real-time data processing
- across a distributed system, utilizing
- auto-scaling capabilities for optimized performance
- python
- Modular architecture
- CI-ready (GitHub Actions)
- Clone the repository:
git clone https://github.com/fuad403273/RagPool.git cd RagPool- Install in editable mode:
pip install -e .
To configure RagPool, modify the settings in the configuration file. Options include:
- DEBUG: Enable or disable debug mode.
- ALLOWED_HOSTS: Set allowed hostnames.
- DATABASES: Configure database settings.
Pull requests and issue reports are both welcome. Please read the existing code style before submitting.
This project is licensed under the MIT License. See the LICENSE file for details.