Multimodal Retrieval Augmented Generation (RAG) using the Gemini API in Vertex AI Reviews

rajesh r. · Reviewed over 1 year ago

good

Painthamil P. · Reviewed over 1 year ago

Miguel Angel S. · Reviewed over 1 year ago

Sarath Chandra K. · Reviewed over 1 year ago

yamini s. · Reviewed over 1 year ago

ARAVIND A. · Reviewed over 1 year ago

I_08_Abhishek B. · Reviewed over 1 year ago

Yuan-Kai H. · Reviewed over 1 year ago

Sourou A. · Reviewed over 1 year ago

Logater D. · Reviewed over 1 year ago

Zeeshan A. · Reviewed over 1 year ago

Yongmei L. · Reviewed over 1 year ago

Very userful demo

Chinyi C. · Reviewed over 1 year ago

SHUYU 鄭. · Reviewed over 1 year ago

Prakash A. · Reviewed over 1 year ago

Saraswathi B. · Reviewed over 1 year ago

William N. · Reviewed over 1 year ago

ok, I understand the message and the lessons but have a few questions. For the util get_similar_image_from_query, there doesn't seem to have a "model" specified in the arguments. Shouldn't there be a "model" or "LLM" somewhere in the arguments? The overall application of the multimodal RAG is very impressive. In the real world scenario, I am guessing we would be using a vector database like ChromaDB instead of Pandas dataframes?

Steven S. · Reviewed over 1 year ago

Mandar B. · Reviewed over 1 year ago

弘廷 謝. · Reviewed over 1 year ago

Tony J. · Reviewed over 1 year ago

Ihor S. · Reviewed over 1 year ago

chandrika k. · Reviewed over 1 year ago

Relbert R. · Reviewed over 1 year ago

Harshit G. · Reviewed over 1 year ago