Build an LLM and RAG-based Chat Application using AlloyDB and LangChain recensioni

LALITA G. · Recensione inserita 5 mesi fa

Amanda S. · Recensione inserita 5 mesi fa

Wish the internals of the implementation were detailed

Radha Krishna S. · Recensione inserita 5 mesi fa

Ari R. · Recensione inserita 5 mesi fa

Great app and lab

Anil K. · Recensione inserita 5 mesi fa

Venkateswara S. · Recensione inserita 5 mesi fa

I couldn't finish because an error I don't know where.

Andre A. · Recensione inserita 5 mesi fa

kamalakannan p. · Recensione inserita 5 mesi fa

Great lab, but wish more time was spent talking about infra choices/options and less on deployment process.

Jonathan G. · Recensione inserita 5 mesi fa

Those TPU APIs are gonna make me drool.

David B. · Recensione inserita 5 mesi fa

Sameer B. · Recensione inserita 5 mesi fa

great run through, there were a few areas the lab prompts were wrong; I think the main thing is that this took 45 minutes to get to "hello world" -- and I am a proficient and skilled cloud developer and google cloud professional data engineer; that means I had 15 minutes to actually listen to the presenter

Pat G. · Recensione inserita 5 mesi fa

worked

Alan J. · Recensione inserita 5 mesi fa

Great lab experience and material!

Siribala Priyanka C. · Recensione inserita 5 mesi fa

Yogesh D. · Recensione inserita 5 mesi fa

Sergei S. · Recensione inserita 5 mesi fa

Troy C. · Recensione inserita 5 mesi fa

Hurraaaayyyyy~!!!! I enjoyed the session.

Chrisogonas O. M. · Recensione inserita 5 mesi fa

Bala Thirumala Sai Vinay Sukhesh P. · Recensione inserita 5 mesi fa

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. · Recensione inserita 5 mesi fa

Jibi U. · Recensione inserita 5 mesi fa

DaYuan T. · Recensione inserita 5 mesi fa

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. · Recensione inserita 5 mesi fa

Novice L. · Recensione inserita 5 mesi fa

Suresh B. · Recensione inserita 5 mesi fa