Large language models (LLMs) like GPT-4 and Llama 3 have become essential for creating powerful applications. However, building these applications involves challenges such as managing prompts, integrating external data, maintaining context, and ensuring scalability.
The LangChain ecosystem, including LangChain, LangGraph, LangFlow, and LangSmith, addresses these challenges at different stages of the development lifecycle. This article explores each tool, their differences, and when to use them, enhanced with diagrams.
