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

Rishi S. · Revisado há about 1 year

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

Siva G. · Revisado há about 1 year

end

Siva G. · Revisado há about 1 year

Frank P. · Revisado há over 1 year

Johnson O. · Revisado há over 1 year

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. · Revisado há over 1 year

Elena R. · Revisado há over 1 year

Great

Vivek K. · Revisado há over 1 year

Siarhei P. · Revisado há over 1 year

David C. · Revisado há over 1 year

Naharay A. · Revisado há over 1 year

Satheesh R. · Revisado há over 1 year

Janis L. · Revisado há over 1 year

Carlos D. · Revisado há over 1 year

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

Julissa C. · Revisado há over 1 year

David W. · Revisado há over 1 year

Chintan Harsukhbhai R. · Revisado há over 1 year

GAORAV V. · Revisado há over 1 year

Feridun H. · Revisado há over 1 year

had trouble. will need to redo

Stephen A. · Revisado há over 1 year

Stanimira V. · Revisado há over 1 year

Matt R. · Revisado há over 1 year

Jad C. · Revisado há over 1 year

Richard K. · Revisado há over 1 year

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. · Revisado há over 1 year