关于“Build an LLM and RAG-based Chat Application using AlloyDB and LangChain”的评价

worked

Alan J. · 评论8 months之前

Great lab experience and material!

Siribala Priyanka C. · 评论8 months之前

Yogesh D. · 评论8 months之前

Sergei S. · 评论8 months之前

Troy C. · 评论8 months之前

Hurraaaayyyyy~!!!! I enjoyed the session.

Chrisogonas O. M. · 评论8 months之前

Bala Thirumala Sai Vinay Sukhesh P. · 评论8 months之前

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. · 评论8 months之前

Jibi U. · 评论8 months之前

DaYuan T. · 评论8 months之前

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. · 评论8 months之前

Novice L. · 评论8 months之前

Suresh B. · 评论8 months之前

Michael C. · 评论8 months之前

Bola A. · 评论8 months之前

CJ L. · 评论8 months之前

Divam S. · 评论8 months之前

Raman W. · 评论8 months之前

Carl F. · 评论8 months之前

Miguel R. · 评论8 months之前

Great lab, thanks!

Dmitriy S. · 评论8 months之前

Graham L. · 评论8 months之前

Awesome!

John E. · 评论8 months之前

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. · 评论8 months之前

jingren s. · 评论8 months之前