Creating a RAG Chat Assistant with MongoDB Atlas Vector Search, Google Cloud and Langchain Reviews
102 reviews
Chintan Harsukhbhai R. · Reviewed 3 ay ago
GAORAV V. · Reviewed 3 ay ago
Feridun H. · Reviewed 3 ay ago
had trouble. will need to redo
Stephen A. · Reviewed 3 ay ago
Stanimira V. · Reviewed 3 ay ago
Matt R. · Reviewed 3 ay ago
Jad C. · Reviewed 3 ay ago
Richard K. · Reviewed 3 ay 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 ay ago
Irina V. · Reviewed 3 ay ago
Dvorah G. · Reviewed 3 ay ago
Sam A. · Reviewed 3 ay ago
na
Marco G. · Reviewed 3 ay ago
Beheria J. · Reviewed 3 ay ago
Nice lab, but I would have liked some visible options to earn points along the way before clicking End Lab, instead waiting until the lab is over.
Leo S. · Reviewed 3 ay ago
Jeff D. · Reviewed 3 ay ago
Michal M. · Reviewed 3 ay ago
Tori C. · Reviewed 3 ay ago
Danniel C. · Reviewed 3 ay ago
Danniel C. · Reviewed 3 ay ago
Andrii L. · Reviewed 3 ay ago
LubĂ©lio F. · Reviewed 3 ay ago
Nice to see creation of embeddings, storage in MongoDB, and retrieval to give the chatbot more context.
Jonathan K. · Reviewed 3 ay ago
Camden B. · Reviewed 3 ay ago
Enrique S. · Reviewed 3 ay ago
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