What is LangChain primarily used for?

LangChain is primarily used for creating applications based on large language models. It provides a framework that facilitates the development of applications utilizing various language models, allowing developers to easily integrate features such as natural language understanding, text generation, and conversational AI into their applications. The modularity and flexibility offered by LangChain enable users to build sophisticated language-based applications rapidly, leveraging the capabilities of large language models to enhance their functionality.

The other options depict areas that are not directly related to LangChain's primary purpose. Building hardware for AI applications focuses more on the physical components and infrastructure rather than software frameworks. Data storage and organization pertain to managing data systems rather than the application of language models. Conducting financial analysis relates to financial services and analytics instead of the capabilities provided by LangChain in the realm of language processing and application development.