Build an LLM and RAG-based Chat Application using AlloyDB and LangChain Reviews
191 reviews
Miguel R. · Reviewed 8 months ago
Great lab, thanks!
Dmitriy S. · Reviewed 8 months ago
Graham L. · Reviewed 8 months ago
Awesome!
John E. · Reviewed 8 months ago
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. · Reviewed 8 months ago
jingren s. · Reviewed 8 months ago
You get to an end result but nothing is truly taught from an education standpoint. It feels like a series of copy/paste without explanation on what/why.
Timothy F. · Reviewed 8 months ago
Samuel N. · Reviewed 8 months ago
too high level, would be nice to dig into how the the code is structured
Zhijia Y. · Reviewed 8 months ago
Raphael C. · Reviewed 8 months ago
Patricia B. · Reviewed 8 months ago
Yes it was great to work in a hands on learning environment. Please do more of these!
Sheena J. · Reviewed 8 months ago
Cut and paste provides no context, so it's not really a learning experience. Additionally, most of that cut and paste seemed unnecessary for the purpose of the lab. Script it and keep to the learning goals.
Paul B. · Reviewed 8 months ago
c
Amol C. · Reviewed 8 months ago
Manish P. · Reviewed 8 months ago
Paul R. · Reviewed 8 months ago
We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.