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