리뷰 Build an LLM and RAG-based Chat Application using AlloyDB and LangChain개

worked

Alan J. · 8개월 전에 리뷰됨

Great lab experience and material!

Siribala Priyanka C. · 8개월 전에 리뷰됨

Yogesh D. · 8개월 전에 리뷰됨

Sergei S. · 8개월 전에 리뷰됨

Troy C. · 8개월 전에 리뷰됨

Hurraaaayyyyy~!!!! I enjoyed the session.

Chrisogonas O. M. · 8개월 전에 리뷰됨

Bala Thirumala Sai Vinay Sukhesh P. · 8개월 전에 리뷰됨

setup for the lab takes too much time. It makes it difficult to actually experiment with the code. The lab time could/should be increased to 2 hours.

Alberto A. · 8개월 전에 리뷰됨

Jibi U. · 8개월 전에 리뷰됨

DaYuan T. · 8개월 전에 리뷰됨

The credential didn't work and while seeing/stepping through all the setup steps, which are extensive, it didn't teach anything about actually building RAG apps. This was a configuration lab. When a lab has this many steps, each representing a potential error point for new user, it's easy to get derailed and end up with nothing to show for the time. An improvement would be to have the environment pre-built and then focus on how to build RAG apps.

Stacy P. · 8개월 전에 리뷰됨

Novice L. · 8개월 전에 리뷰됨

Suresh B. · 8개월 전에 리뷰됨

Michael C. · 8개월 전에 리뷰됨

Bola A. · 8개월 전에 리뷰됨

CJ L. · 8개월 전에 리뷰됨

Divam S. · 8개월 전에 리뷰됨

Raman W. · 8개월 전에 리뷰됨

Carl F. · 8개월 전에 리뷰됨

Miguel R. · 8개월 전에 리뷰됨

Great lab, thanks!

Dmitriy S. · 8개월 전에 리뷰됨

Graham L. · 8개월 전에 리뷰됨

Awesome!

John E. · 8개월 전에 리뷰됨

This is a pretty terrible lab. Way too much setup. We haven't even run a query yet, and there's 10 minutes left to go in the webinar. In production you'd probably just terraform all this stuff. Qwiklabs projects can be configured where lots of services like this are already running, so the users don't have to waste so much time with setup. That said, the application is interesting and helpful. However, the lab provides zero insight into how it works. Overall I learned very little from this lab.

Jason B. · 8개월 전에 리뷰됨

jingren s. · 8개월 전에 리뷰됨