Solution Overview
UltraRAG solves the programming and data handling challenges of RAG system development through the following innovative designs:
- Code-free WebUI: Provide a visual operation interface to support the whole link setup (data construction → fine-tuning → evaluation), without writing code to complete the complex configuration
- Automated Data Building: Realize intelligent data alignment based on KBAlign technology, and automatically handle data cleaning, format conversion and other pre-processing work.
- One-Click Workflow: Integrated RAG-DDR methodology that allows users to complete the process from raw data to deployable models at the click of a button
Specific steps
- Access to WebUI pages (default port 8843 after deployment via Docker or Conda)
- Select the "Data Building" module and upload the raw documents/datasets
- Setting data preprocessing parameters (supports automatic optimization recommendations)
- Click on "One Click Synthesis" to start the automated process.
Extended Programs
For advanced users: customized development is possible through research-friendly modular design (THUNLP-RAG, etc.), and the system retains API interfaces to support code-level extensions.
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 " How do you address the challenges of RAG system development that requires a lot of manual programming and data processing?
