We address the practical challenges enterprises encounter when implementing RAG systems—specifically tackling hallucination issues and declining search accuracy. By classifying documents based on metadata and organizing collections according to specific scenarios, we deliver a structure that improves both search speed and precision. We also provide guidance on utilizing vector databases to extract similar information with accuracy.