If you've heard about LangChain and assumed it was a Python thing, that's fair. It mostly was.

LangChain became popular because building with an LLM turns out to involve a lot of repetitive plumbing. You need to manage conversation history, split documents into chunks, generate embeddings, search a vector store, wire up functions the model can...