LangChain is a framework designed to simplify the creation of applications using large language models (LLMs). It provides a flexible abstraction and an extensive toolkit that allows developers to build context-aware and reasoning LLM applications. LangChain’s use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.
LangChain provides a standard interface for chains, which go beyond a single LLM call and involve sequences of calls to an LLM or a different utility. This allows developers to easily create chains of LLM calls for their applications.
According to the information from the Wikipedia page about LangChain, the framework simplifies the creation of applications that utilize large language models. It is specifically designed to integrate language models into various applications and has use-cases that include document analysis and summarization, chatbots, and code analysis.
LangChain utilizes the power of AI large language models combined with data sources to create powerful applications. It allows developers to leverage the capabilities of language models to enhance their applications and provide more intelligent and context-aware functionality.