关于“Creating a RAG Chat Assistant with MongoDB Atlas Vector Search, Google Cloud and Langchain”的评价
评论
Richard K. · 评论over 1 year之前
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. · 评论over 1 year之前
Irina V. · 评论over 1 year之前
Dvorah G. · 评论over 1 year之前
Sam A. · 评论over 1 year之前
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Marco G. · 评论over 1 year之前
Beheria J. · 评论over 1 year之前
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. · 评论over 1 year之前
Jeff D. · 评论over 1 year之前
Michal M. · 评论over 1 year之前
Tori C. · 评论over 1 year之前
Danniel C. · 评论over 1 year之前
Danniel C. · 评论over 1 year之前
Andrii L. · 评论over 1 year之前
Lubélio F. · 评论over 1 year之前
Nice to see creation of embeddings, storage in MongoDB, and retrieval to give the chatbot more context.
Jonathan K. · 评论over 1 year之前
Camden B. · 评论over 1 year之前
Enrique S. · 评论over 1 year之前
wassim m. · 评论over 1 year之前
Wei W. · 评论over 1 year之前
Rinat S. · 评论over 1 year之前
There are problems when you copy the code JS
Enrique S. · 评论over 1 year之前
Simret Y. · 评论over 1 year之前
Adam T. · 评论over 1 year之前
Bon S. · 评论over 1 year之前
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