I was very satisfied to learn how to build a chat service using real WebSockets and Spring Boot!

I think you did a really great job of explaining the inner workings of agents in a very simple way. I’m currently building one for personal use as well as one for a service I plan to include in the beta launch, but it hasn’t been easy. The service was in a complete mess, but I feel like I’ve found a way to start reorganizing its structure one step at a time. Thank you, HONG, for creating such great lecture videos—even studying on rainy days and sweating profusely in the hot weather to make them!

I hope more practical, service-oriented courses like this continue to be offered. One minor disappointment is that the lecture format could be polished just a little more. There were a few moments when terms being taught were referred to using unusual (?) terminology, or when the content was corrected midway through, which occasionally made me think, “Huh?” while listening. Nevertheless, thank you so much for kindly helping me gain the knowledge I really needed in my work.

I liked that it was structured to help learners understand Retrieval itself first, rather than immediately integrating an LLM. It covered not only vector search but also Hybrid Search and Reranking, which helped me understand the big picture of RAG and which techniques are needed in different situations. I would recommend it to anyone new to RAG or looking to move from tutorial-level implementations to a real-world service architecture. In particular, I appreciated that it went beyond simply following individual technologies and made it possible to understand RAG from a holistic perspective. If there is one thing I would personally hope for, it would be a more diverse practice dataset. Being able to compare the differences between each technique depending on the data would have helped me gain a deeper, more practical understanding of what I learned.