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

Richard K. · 已于 over 1 year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 over 1 year前审核

Irina V. · 已于 over 1 year前审核

Dvorah G. · 已于 over 1 year前审核

Sam A. · 已于 over 1 year前审核

na

Marco G. · 已于 over 1 year前审核

Beheria J. · 已于 over 1 year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 over 1 year前审核

Jeff D. · 已于 over 1 year前审核

Michal M. · 已于 over 1 year前审核

Tori C. · 已于 over 1 year前审核

Danniel C. · 已于 over 1 year前审核

Danniel C. · 已于 over 1 year前审核

Andrii L. · 已于 over 1 year前审核

Lubélio F. · 已于 over 1 year前审核

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

Jonathan K. · 已于 over 1 year前审核

Camden B. · 已于 over 1 year前审核

Enrique S. · 已于 over 1 year前审核

wassim m. · 已于 over 1 year前审核

Wei W. · 已于 over 1 year前审核

Rinat S. · 已于 over 1 year前审核

There are problems when you copy the code JS

Enrique S. · 已于 over 1 year前审核

Simret Y. · 已于 over 1 year前审核

Adam T. · 已于 over 1 year前审核

Bon S. · 已于 over 1 year前审核