Creating a RAG Chat Assistant with MongoDB Atlas Vector Search, Google Cloud and Langchain Reviews
163 reviews
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 4 months ago
Elena R. · Reviewed 4 months ago
Great
Vivek K. · Reviewed 4 months ago
Siarhei P. · Reviewed 4 months ago
David C. · Reviewed 4 months ago
Naharay A. · Reviewed 4 months ago
Satheesh R. · Reviewed 4 months ago
Janis L. · Reviewed 4 months ago
Carlos D. · Reviewed 4 months ago
cors error with sample frontend not being able to connect to backend
Julissa C. · Reviewed 5 months ago
David W. · Reviewed 5 months ago
Chintan Harsukhbhai R. · Reviewed 5 months ago
GAORAV V. · Reviewed 5 months ago
Feridun H. · Reviewed 5 months ago
had trouble. will need to redo
Stephen A. · Reviewed 5 months ago
Stanimira V. · Reviewed 5 months ago
Matt R. · Reviewed 5 months ago
Jad C. · Reviewed 5 months ago
Richard K. · Reviewed 5 months 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 5 months ago
Irina V. · Reviewed 5 months ago
Dvorah G. · Reviewed 5 months ago
Sam A. · Reviewed 5 months ago
na
Marco G. · Reviewed 5 months ago
Beheria J. · Reviewed 5 months ago
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