LangChain

Framework for RAG, LLM orchestration, and AI pipelines.

How we use LangChain

We pick this tool when it has a practical effect: faster delivery, more stability, and easier support after release.

Before choosing a technology we look at business tasks, load growth, integrations, and security requirements. That keeps the stack useful not only at launch but on later stages as well.