Site Rag is a user-friendly, open-source application designed to streamline the integration of Retrieval Augmented Generation for web content. It automatically extracts text from web pages, generating embeddings that facilitate advanced information retrieval. With Site Rag, users can effortlessly pose natural language queries to search the extracted content, making it an invaluable tool for developers aiming to enhance user interaction with web text. The app demystifies the complexities of RAG, offering a seamless solution that democratizes access to this powerful technology. Its open-source nature encourages collaboration and continuous improvement, ensuring it evolves with the needs of its users. Ideal for developers seeking to implement sophisticated content retrieval solutions, Site Rag transforms how web information is accessed and utilized.