Contributed comprehensive documentation updates to the OpenSPG/KAG repository, focusing on Knowledge Augmented Generation (KAG) core features and practical benefits. Leveraging technical writing and documentation skills, delivered detailed English and Chinese README files that explain mutual indexing, semantic reasoning, schema-constrained construction, and hybrid reasoning, as well as performance improvements over traditional Retrieval-Augmented Generation (RAG) methods. Used Markdown to ensure clarity and accessibility across languages, supporting both developer onboarding and customer enablement. The work established a clear, traceable commit history and laid the groundwork for future performance-focused documentation, enhancing real-world adoption and cross-language usability for KAG implementations.