ultrarag

We have hosted the application ultrarag in order to run this application in our online workstations with Wine or directly.

Quick description about ultrarag:

UltraRAG 2.0 is a low-code, MCP-enabled RAG framework that aims to lower the barrier to building complex retrieval pipelines for research and production. It provides end-to-end recipes�from encoding and indexing corpora to deploying retrievers and LLMs�so users can reproduce baselines and iterate rapidly. The toolkit comes with built-in support for popular RAG datasets, large corpora, and canonical baselines, plus documentation that walks from �quick start� to debugging and case analysis. It encourages pipeline composition via configuration, enabling researchers to swap retrievers, rerankers, and generators without heavy refactoring. Community posts highlight its focus on reducing engineering overhead so more effort goes to experimental design. Backed by the OpenBMB org, it is actively maintained with tutorials and updates.

Features:

• MCP-based, low-code pipeline assembly for RAG
• Built-in datasets, corpora, and baseline implementations
• Retriever encoding, indexing, deployment, and evaluation flows
• Swappable components for reranking and generation
• Tutorials from quick start to debugging and case studies
• Designed for fast reproduction and extension of research results

Programming Language: Python.
Categories: