关于“Creating a RAG Chat Assistant with MongoDB Atlas Vector Search, Google Cloud and Langchain”的评价

关于“Creating a RAG Chat Assistant with MongoDB Atlas Vector Search, Google Cloud and Langchain”的评价

102 条评价

Chintan Harsukhbhai R. · 已于 3 months前审核

GAORAV V. · 已于 3 months前审核

Feridun H. · 已于 3 months前审核

had trouble. will need to redo

Stephen A. · 已于 3 months前审核

Stanimira V. · 已于 3 months前审核

Matt R. · 已于 3 months前审核

Jad C. · 已于 3 months前审核

Richard K. · 已于 3 months前审核

It has omissions that are critical like making sure to check RAG button when using the data from MongoDB and also whitelisting the cloudshell IP in Mongo Atlas for you to save and retrieve the embedded data.

John E. · 已于 3 months前审核

Irina V. · 已于 3 months前审核

Dvorah G. · 已于 3 months前审核

Sam A. · 已于 3 months前审核

na

Marco G. · 已于 3 months前审核

Beheria J. · 已于 3 months前审核

Nice lab, but I would have liked some visible options to earn points along the way before clicking End Lab, instead waiting until the lab is over.

Leo S. · 已于 3 months前审核

Jeff D. · 已于 3 months前审核

Michal M. · 已于 3 months前审核

Tori C. · 已于 3 months前审核

Danniel C. · 已于 3 months前审核

Danniel C. · 已于 3 months前审核

Andrii L. · 已于 3 months前审核

Lubélio F. · 已于 3 months前审核

Nice to see creation of embeddings, storage in MongoDB, and retrieval to give the chatbot more context.

Jonathan K. · 已于 3 months前审核

Camden B. · 已于 3 months前审核

Enrique S. · 已于 3 months前审核

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