Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA

Yuan Pu, Zhuolun He, Tairu Qiu +2

Retrieval augmented generation (RAG) enhances the accuracy and reliability of generative AI models by sourcing factual information from external databases, which is extensively emp…