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

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

181 reviews

Javier C. · Reviewed 8 months ago

Parisa B. · Reviewed 8 months ago

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

Dan C. · Reviewed 8 months ago

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

Walter T. · Reviewed 8 months ago

Salvador F. · Reviewed 8 months ago

Aaron P. · Reviewed 8 months ago

Not enough time

Edy C. · Reviewed 8 months ago

Well structured and good executable content to cover the subject matter

Ram B. · Reviewed 8 months ago

Great lab.

Shuvro A. · Reviewed 8 months ago

LALITA G. · Reviewed 8 months ago

Amanda S. · Reviewed 8 months ago

Wish the internals of the implementation were detailed

Radha Krishna S. · Reviewed 8 months ago

Ari R. · Reviewed 8 months ago

Great app and lab

Anil K. · Reviewed 8 months ago

Venkateswara S. · Reviewed 8 months ago

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

Andre A. · Reviewed 8 months ago

kamalakannan p. · Reviewed 8 months ago

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

Jonathan G. · Reviewed 8 months ago

Those TPU APIs are gonna make me drool.

David B. · Reviewed 8 months ago

Sameer B. · Reviewed 8 months ago

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. · Reviewed 8 months ago

worked

Alan J. · Reviewed 8 months ago

Great lab experience and material!

Siribala Priyanka C. · Reviewed 8 months ago

Yogesh D. · Reviewed 8 months ago

Sergei S. · Reviewed 8 months ago

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