The Tavrn team has developed Noah, a personal assistant app designed to enhance the use of large language models (LLMs) in the workplace by efficiently retrieving relevant context for user queries. Utilizing LangChain and LangSmith, Noah addresses the challenge of manually providing context to tools like ChatGPT, which often involves tedious processes such as copying and pasting information from multiple documents. By syncing files from platforms like Google Drive and Notion, Noah automates the identification and extraction of pertinent information, allowing users to simply input queries without worrying about context. This is achieved through optimized document processing and advanced retrieval tactics, including the use of LangChain's CharacterTextSplitter and cosine similarity vector search, which effectively identify and prioritize relevant content. The app then delivers the most accurate responses by filtering through conflicting information and citing appropriate sources, ultimately streamlining workflows and boosting productivity.