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

na

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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