Large language models excel at generating human-like text, but they operate in a vacuum. Out of the box, a model cannot access private databases, remember the context of a conversation beyond its immediate window, or decide when to search the internet. Developers building production applications quickly realize that raw API calls to a model are rarely enough to build a complete system.

LangChain solves this problem by acting as an orchestration framework. It bridges the gap between raw models and fully realized applications by providing a structured way to connect prompts, models, and external tools. Instead of writing custom glue code for every project