  In recent years, open-source software (OSS) has become increasingly prevalent
in developing software products. While OSS documentation is the primary source
of information provided by the developers' community about a product, its role
in the industry's adoption process has yet to be examined. We conducted
semi-structured interviews and an online survey to provide insight into this
area. Based on interviews and survey insights, we developed a topic model to
collect relevant information from OSS documentation automatically.
Additionally, according to our survey responses regarding challenges associated
with OSS documentation, we propose a novel information augmentation approach,
DocMentor, by combining OSS documentation corpus TF-IDF scores and ChatGPT.
Through explaining technical terms and providing examples and references, our
approach enhances the documentation context and improves practitioners'
understanding. Our tool's effectiveness is assessed by surveying practitioners.
