The framework of ChatMolData is based on LangChain, which is a versatile framework designed to facilitate the development of applications powered by LLMs. By leveraging LangChain, developers can create dynamic, intelligent systems that go beyond simple text generation, incorporating logic, memory, and real-world interactions. LangChain's greatest strengths lies in its support for Chain-of-Thought (CoT) reasoning and the seamless integration of external tools, such as APIs and databases. CoT reasoning allows models to perform step-by-step logical reasoning, improving accuracy and interpretability in tasks requiring complex decision-making. The ability to connect models to external tools further enhances their utility by allowing them to interact with real-time data and perform specialized tasks, such as querying molecular databases or running complex simulations. In ChatMolData, through LangChain, we integrate the three critical elements: LLMs, prompts, and tools for molecular data processing.