langchain-course

Why we included this project

Developers who have finished LangChain tutorials often wonder what a real agent application looks like when it is actually built. This course repository answers that by walking through seven complete builds, from a basic hello-world chain to search agents, RAG pipelines, a code interpreter, and self-correcting reflection agents, with each lesson on its own branch so you can trace how the code evolved commit by commit. The projects lean on production-facing concerns such as tool calling, structured outputs, vector stores, and agent workflows rather than toy examples, and they run against local models through Ollama as well as cloud providers. It suits developers who already know Python and git but are new to LLM application development. The companion repositories outside the course, like the documentation helper and the agentic RAG example, are worth cloning if you want the full working code for the more advanced patterns.