UltraRAG 2.0: Build Advanced RAG Systems in Dozens of Lines of Code

UltraRAG 2.0: Building High-Performance Retrieval-Augmented Generation Systems with Minimal Code Dozens of lines of code to implement complex reasoning pipelines like Search-o1, focusing on research innovation instead of engineering burdens. Have you ever struggled with the complex engineering implementation when building retrieval-augmented generation (RAG) systems? As RAG systems evolve from simple “retrieve + generate” approaches to complex knowledge systems incorporating adaptive knowledge organization, multi-step reasoning, and dynamic retrieval, researchers face increasing engineering challenges. Traditional methods require substantial code to implement workflow control, module integration, and experimental evaluation—not only time-consuming but also error-prone. Now, there’s a new solution: UltraRAG 2.0. What …