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Reviews 6
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Average rating 5.0
While trying to create an agentic workflow with SpringAI, it wasn't easy to structure a workflow implemented like Langgraph. So, I'm learning Langgraph, and your instructor's lecture on agent configuration is incredibly rich and helpful. Thank you.! However, even if such an Agent is developed, there needs to be an interface that users can use smoothly. Do you have plans to create a lecture containing ideas for such service composition (mainly WebSockets or SSE for asynchronous or chat interactions...)? When actually building it, it wasn't easy to develop like other open-source projects such as OpenWebUI... I guess I need to study more backend for this part, right?๐๐ SpringBoot is fine, but I don't have much experience with backend development in Python. Thank you for the high-quality lecture!
Thank you very much for the great feedback! ๐ I'm also preparing a lecture on how to connect LangGraph-based agents to actual services. In particular, it will cover asynchronous communication like WebSockets and SSE, and integration with FastAPI-based Python backends. If you're familiar with SpringBoot, you'll be able to adapt quickly as the concepts are the same! At the request of another student, a simple example using Streamlit has been uploaded to the GitHub source code! https://github.com/jasonkang14/inflearn-langgraph-agent/blob/main/chat_stream.py
