An open-source chatbot has been developed to provide answers regarding LangChain's documentation, leveraging a user-friendly interface similar to ChatGPT to enhance user experience. The chatbot, created in collaboration with Zahid Khawaja, employs a unique process for document ingestion and query handling, ensuring relevant and accurate responses by combining LangChain's large language models with external data. The development team faced challenges in data preprocessing, ultimately opting for web scraping to obtain necessary documentation, and implementing strategies to improve chatbot context retention with follow-up questions. Prompt engineering was crucial to the chatbot's design, ensuring answers included proper formatting, source citation, and maintained relevance to LangChain. The chatbot's accuracy and performance were optimized by refining prompts with specific keywords and instructions, balancing speed and response quality. The project aims to continue evolving with community feedback and potential feature enhancements.