We've developed an open source chatbot that answers questions about LangChain's documentation, utilizing a combination of LLMs and external data. The chatbot was created to provide fast and accurate support for the growing Discord community, leveraging our own technology internally. It faces challenges such as document ingestion, preprocessing HTML files, and fetching relevant documents from the Vector Database Question Answer Chain while maintaining a user-friendly interface and delivering accurate results. The chatbot's design balances speed and performance by refining prompts and experimenting with different keywords and sentence structures. We believe this unique approach highlights the importance of intentional data inclusion and careful consideration in pipeline modifications to achieve better performance.