The mining industry operates within a complex framework of rules and regulations that are crucial for safety, environmental compliance, and operational efficiency. However, understanding and navigating these regulations can be challenging due to their sheer volume and intricacy. To address this issue, we propose the development of a chatbot that streamlines access to mining rules and provides comprehensive information. Our chatbot leverages state-of-the-art technologies, including Langchain, FAISS (CPU), Hugging Face, Python, and Llama 2 7B Chat. The multi-step approach involves chunking relevant information, creating a vector index, and efficiently retrieving data when users pose queries. Notably, the chatbot not only retrieves existing information but also generates hypothetical answers to user questions. Key findings from our research demonstrate that the chatbot significantly enhances accessibility to vital mining regulations. By improving compliance and safety, this solution contributes to more responsible and sustainable mining practices. Key Words: Mining Regulations, Chatbot, Langchain, FAISS (CPU), Hugging Face, Python, Llama 2 7B Chat, Management Information System, Information Retrieval