Operations teams often struggle with siloed knowledge and complex infrastructure relationships. This article presents a practical approach to building a RAG-based intelligent Q&A system that can understand and reason about architecture topology. The key innovation is representing infrastructure components and their relationships in a way that the RAG system can query and reason over, enabling more accurate and context-aware answers. This is particularly relevant for DevOps and MLOps teams managing complex, multi-service architectures. The approach combines vector search with graph-based representations to capture both textual knowledge and structural relationships. For overseas developers and technical founders, this offers a blueprint for building operational knowledge bases that go beyond simple document retrieval, making them truly intelligent and context-aware.
A practical guide to building a RAG-based Q&A system for operations that understands architecture topology, addressing the challenge of context-aware infrastructure knowledge retrieval.