DeepSolution: Boosting Complex Engineering Solution Design via
  Tree-based Exploration and Bi-point Thinking
Authors: name: Zhuoqun Li, name: Haiyang Yu, name: Xuanang Chen, name: Hongyu Lin, name: Yaojie Lu, name: Fei Huang, name: Xianpei Han, name: Yongbin Li, name: Le Sun

Designing solutions for complex engineering challenges is crucial in human
production activities. However, previous research in the retrieval-augmented
generation (RAG) field has not sufficiently addressed tasks related to the
design of complex engineering solutions. To fill this gap, we introduce a new
benchmark, SolutionBench, to evaluate a system's ability to generate complete
and feasible solutions for engineering problems with multiple complex
constraints. To further advance the design of complex engineering solutions, we
propose a novel system, SolutionRAG, that leverages the tree-based exploration
and bi-point thinking mechanism to generate reliable solutions. Extensive
experimental results demonstrate that SolutionRAG achieves state-of-the-art
(SOTA) performance on the SolutionBench, highlighting its potential to enhance
the automation and reliability of complex engineering solution design in
real-world applications.