Multimodal Retrieval Augmented Generation (RAG) using the Gemini API in Vertex AI Reviews
32909 reviews
Jason B. · Reviewed about 1 year ago
Naveen N. · Reviewed about 1 year ago
MARCO ANTONIO G. · Reviewed about 1 year ago
Joeliton V. · Reviewed about 1 year ago
`Unfortunately, I cannot process or "see" images, including your provided Image objects for "Image_1" and "Image_2." This limitation prevents me from directly answering your questions, as they heavily rely on visual analysis of the graphs and table you've described. However, based on the text descriptions provided by Gemini, I can offer some insights and guidance:...`
Norm R. · Reviewed about 1 year ago
Letícia d. · Reviewed about 1 year ago
Dontha A. · Reviewed about 1 year ago
Anderson Z. · Reviewed about 1 year ago
José Marcio de Castro B. · Reviewed about 1 year ago
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Gisele T. · Reviewed about 1 year ago
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Gabriel Henrique P. · Reviewed about 1 year ago
C.M. J. · Reviewed about 1 year ago
Cedric C. · Reviewed about 1 year ago
Navin S. · Reviewed about 1 year ago
Navin S. · Reviewed about 1 year ago
Vasundhara S. · Reviewed about 1 year ago
Alberto A. · Reviewed about 1 year ago
Good
Coin O. · Reviewed about 1 year ago
Eduardo G. · Reviewed about 1 year ago
Akkamgari S. · Reviewed about 1 year ago
Chethan N. · Reviewed about 1 year ago
While passing image data to gemini 1.5 pro model as stated in the notebook, it says "Unfortunately, I cannot process or "see" images and am unable to provide the analysis requested. I can only process the textual information provided. ". And proceeds to provide answers based on image descriptions only, or suggesting how to get answers. This somewhat contradicts the multimodal capability lab is trying to show. It looks like there is some issue with notebook code, which is converting images to string (just an object repr in python) before sending it to Gemini. So it just sends text instead of actual images.
Nij R. · Reviewed about 1 year ago
Pedro Henrique M. · Reviewed about 1 year ago
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