UltraRAG is designed with a microservices architecture, and each functional component can be independently upgraded and replaced. The system integrates algorithm implementations from top research groups such as THUNLP-RAG by default, while providing:
- Standardized API interface: supports fast access to third-party algorithms
- Version control mechanisms: ensure compatibility management of different modules
- Sandbox test environments: new algorithms validate effects in isolated spaces
This design allows the system to be put into production use immediately while remaining technologically forward-looking. For example, when a newly released RAG algorithm is presented at a top meeting such as ACL, researchers can validate the system integration in as little as 1 business day.
This answer comes from the articleUltraRAG: A One-Stop RAG System Solution to Simplify Data Construction and Model Fine-TuningThe
May not be reproduced without permission:AI productivity tools " UltraRAG's Modular Architecture Supports Continuous Integration of Cutting-Edge RAG Methods
