PoliSage is an intelligent policy question-answering system powered by large language models (LLMs) and the Retrieval-Augmented Generation (RAG) framework. Unlike traditional LLMs that may generate hallucinated or outdated content, Polisage grounds all responses in authoritative policy documents retrieved in real time. It uses semantic search to locate relevant text and then leverages LLMs to generate clear, human-like answers with source citations. This hybrid approach combines the fluency of LLMs with the factual accuracy of retrieval, ensuring trustworthy, context-aware outputs. Supporting multilingual input and document traceability, Polisage maximizes the effectiveness of LLMs in high-stakes environments where policy clarity and reliability are critical.