Congratulations on completing this in-depth video course! You successfully built an LLM agent in LangGraph and now have a solid foundation to build your own applications.
In this video course, you’ve learned how to:
- Think about LangGraph as a complement to LangChain for building sophisticated LLM workflows
- Build LangGraph StateGraph workflows with conditional edges and cycles
- Build LangGraph LLM agents
You built this project on LangGraph 1.x, which is a long-term support release. As your applications grow, you can explore production features that build on the concepts you practiced here. These include durable state persistence to checkpoint and resume graphs, built-in human-in-the-loop controls, and deferred node execution for parallel branches. The official documentation is a great next stop.
Resources mentioned in this lesson:
