Creating a RAG Chat Assistant with MongoDB Atlas Vector Search, Google Cloud and Langchain Reviews

Rishi S. · Reviewed over 1 year ago

don't have time to complete. will do it later

Siva G. · Reviewed over 1 year ago

end

Siva G. · Reviewed over 1 year ago

Frank P. · Reviewed over 1 year ago

Johnson O. · Reviewed over 1 year ago

After pasting code and before testing chat in Task 1, Ctrl-C to stop the app, and run "npm start" again to connect your front end to back end. If not, chat will not work.

Jonathan L. · Reviewed over 1 year ago

Elena R. · Reviewed over 1 year ago

Great

Vivek K. · Reviewed over 1 year ago

Siarhei P. · Reviewed over 1 year ago

David C. · Reviewed over 1 year ago

Naharay A. · Reviewed almost 2 years ago

Satheesh R. · Reviewed almost 2 years ago

Janis L. · Reviewed almost 2 years ago

Carlos D. · Reviewed almost 2 years ago

cors error with sample frontend not being able to connect to backend

Julissa C. · Reviewed almost 2 years ago

David W. · Reviewed almost 2 years ago

Chintan Harsukhbhai R. · Reviewed almost 2 years ago

GAORAV V. · Reviewed almost 2 years ago

Feridun H. · Reviewed almost 2 years ago

had trouble. will need to redo

Stephen A. · Reviewed almost 2 years ago

Stanimira V. · Reviewed almost 2 years ago

Matt R. · Reviewed almost 2 years ago

Jad C. · Reviewed almost 2 years ago

Richard K. · Reviewed almost 2 years ago

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. · Reviewed almost 2 years ago