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

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

113 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 2 months ago

Elena R. · Reviewed 2 months ago

Great

Vivek K. · Reviewed 2 months ago

Siarhei P. · Reviewed 2 months ago

David C. · Reviewed 2 months ago

Naharay A. · Reviewed 3 months ago

Satheesh R. · Reviewed 3 months ago

Janis L. · Reviewed 3 months ago

Carlos D. · Reviewed 3 months ago

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

Julissa C. · Reviewed 3 months ago

David W. · Reviewed 3 months ago

Chintan Harsukhbhai R. · Reviewed 3 months ago

GAORAV V. · Reviewed 3 months ago

Feridun H. · Reviewed 3 months ago

had trouble. will need to redo

Stephen A. · Reviewed 3 months ago

Stanimira V. · Reviewed 3 months ago

Matt R. · Reviewed 3 months ago

Jad C. · Reviewed 3 months ago

Richard K. · Reviewed 3 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 3 months ago

Irina V. · Reviewed 3 months ago

Dvorah G. · Reviewed 3 months ago

Sam A. · Reviewed 3 months ago

na

Marco G. · Reviewed 3 months ago

Beheria J. · Reviewed 3 months ago

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