ARGUS is a retrieval-augmented support assistant designed around real-world troubleshooting and knowledge retrieval. The project focuses on building a grounded support workflow using curated documents, vector search, and answer generation tied closely to retrieved evidence.
It is also part of a broader effort to deepen practical experience in retrieval pipelines, vector databases, and AI systems that need to be trustworthy in operational environments.