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

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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