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

Rishi S. · Reviewed около 1 года ago

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

Siva G. · Reviewed около 1 года ago

end

Siva G. · Reviewed около 1 года ago

Frank P. · Reviewed больше 1 года ago

Johnson O. · Reviewed больше 1 года 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 больше 1 года ago

Elena R. · Reviewed больше 1 года ago

Great

Vivek K. · Reviewed больше 1 года ago

Siarhei P. · Reviewed больше 1 года ago

David C. · Reviewed больше 1 года ago

Naharay A. · Reviewed больше 1 года ago

Satheesh R. · Reviewed больше 1 года ago

Janis L. · Reviewed больше 1 года ago

Carlos D. · Reviewed больше 1 года ago

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

Julissa C. · Reviewed больше 1 года ago

David W. · Reviewed больше 1 года ago

Chintan Harsukhbhai R. · Reviewed больше 1 года ago

GAORAV V. · Reviewed больше 1 года ago

Feridun H. · Reviewed больше 1 года ago

had trouble. will need to redo

Stephen A. · Reviewed больше 1 года ago

Stanimira V. · Reviewed больше 1 года ago

Matt R. · Reviewed больше 1 года ago

Jad C. · Reviewed больше 1 года ago

Richard K. · Reviewed больше 1 года 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 больше 1 года ago