During October 2024, Shubhamsaboo enhanced the LightRAG repository by introducing dynamic embedding dimension detection and migrating demo operations to asynchronous execution. Using Python, asyncio, and RAG techniques, Shubhamsaboo enabled LightRAG to automatically adapt to various embedding models, reducing dimension-related errors and improving compatibility. The transition from synchronous to asynchronous methods in demo workflows allowed for non-blocking execution, resulting in smoother and more responsive user experiences. Hotfixes addressed potential embedding and asynchronous issues, further stabilizing the system. The work demonstrated a solid grasp of asynchronous programming patterns and robust parameter handling, contributing to more reliable and flexible embedding initialization.