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

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

185 avaliações

WOrked end to end - great lab!

Ben M. · Revisado há 8 months

Nebojsha A. · Revisado há 8 months

Michele B. · Revisado há 8 months

Ilia B. · Revisado há 8 months

Javier C. · Revisado há 8 months

Parisa B. · Revisado há 8 months

Interesting. But, I don't really know what I did, other than following the prompts to enter the commands.

Dan C. · Revisado há 8 months

great lab! it felt a bit rushed doing all of this in 1 hour, but very helpful. Thank you

Walter T. · Revisado há 8 months

Salvador F. · Revisado há 8 months

Aaron P. · Revisado há 8 months

Not enough time

Edy C. · Revisado há 8 months

Well structured and good executable content to cover the subject matter

Ram B. · Revisado há 8 months

Great lab.

Shuvro A. · Revisado há 8 months

LALITA G. · Revisado há 8 months

Amanda S. · Revisado há 8 months

Wish the internals of the implementation were detailed

Radha Krishna S. · Revisado há 8 months

Ari R. · Revisado há 8 months

Great app and lab

Anil K. · Revisado há 8 months

Venkateswara S. · Revisado há 8 months

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

Andre A. · Revisado há 8 months

kamalakannan p. · Revisado há 8 months

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

Jonathan G. · Revisado há 8 months

Those TPU APIs are gonna make me drool.

David B. · Revisado há 8 months

Sameer B. · Revisado há 8 months

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. · Revisado há 8 months

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