Developed a documentation chat widget for the openclaw/openclaw repository, introducing Retrieval-Augmented Generation (RAG) to enable Q&A functionality for users seeking product documentation. The solution integrated Upstash Vector for efficient vector-based document retrieval and employed JavaScript and CSS for front end development. Markdown rendering was handled using the marked library, supporting features like copy buttons and adjustable panel width to enhance usability. API rate limiting was implemented to safeguard backend resources. This feature aimed to streamline access to technical information, reduce support demands, and improve developer productivity by providing a self-serve, interactive documentation experience within the product ecosystem.