An Industrial-Scale Retrieval-Augmented Generation Framework for Requirements Engineering: Empirical Evaluation with Automotive Manufacturing Data

1. 1Implement a retrieval-augmented generation (RAG) framework to handle heterogeneous and unstructured documentation
2. 2Evaluate the framework using comprehensive production-grade performance metrics
3. 3Apply the framework to authentic industrial requirements engineering workflows
4. 4Analyze the results to identify areas for improvement and optimize the framework

This research benefits software engineers, AI engineers, and product managers working on large-scale industrial projects, as it provides a framework for efficient requirements engineering

💡 Retrieval-augmented generation can be effective for knowledge-intensive tasks in requirements engineering

💡 RAG framework for industrial-scale requirements engineering!