Multimodal Retrieval Augmented Generation (RAG) using the Gemini API in Vertex AI Reviews
34470 reviews
Santhi E. · Reviewed 10 أيام ago
Ravi S. · Reviewed 10 أيام ago
Arunkumar j. · Reviewed 10 أيام ago
Perarasu M. · Reviewed 10 أيام ago
Vaishnavi V. · Reviewed 10 أيام ago
Janani K. · Reviewed 10 أيام ago
Preethi D. · Reviewed 10 أيام ago
Simarpreet Kaur S. · Reviewed 10 أيام ago
JINKA V. · Reviewed 10 أيام ago
DASOJU S. · Reviewed 10 أيام ago
Kamalesh K. · Reviewed 11 يوم ago
Sohan K. · Reviewed 11 يوم ago
Sindhiya S. · Reviewed 11 يوم ago
good
inbathamilan S. · Reviewed 11 يوم ago
Sindhiya S. · Reviewed 11 يوم ago
Julien P. · Reviewed 11 يوم ago
Kowsini S. · Reviewed 11 يوم ago
good
Praveen J. · Reviewed 11 يوم ago
I am frustrated with this lab experience. I completed all the required steps and the notebook ran successfully, metadata was generated, and the DataFrames were populated, but the “Check my progress” system did not recognize the task as completed. I had to repeat steps multiple times due to API quota errors and progress detection issues, which made the lab very stressful and time-consuming. The instructions should mention API limits, recommended settings (like sleep time), and how much data actually needs to be processed to pass the task. The progress checker should be more reliable and detect completion properly when the required variables and outputs are generated.
Vyankatesh T. · Reviewed 11 يوم ago
6268 K. · Reviewed 11 يوم ago
good
HEMAPRIYA P. · Reviewed 11 يوم ago
sᴀʀᴀɴ ʀ. · Reviewed 11 يوم ago
confusing for text search
pranav b. · Reviewed 11 يوم ago
Assuwathi G. · Reviewed 11 يوم ago
I am frustrated with this lab experience. I completed all the required steps and the notebook ran successfully, metadata was generated, and the DataFrames were populated, but the “Check my progress” system did not recognize the task as completed. I had to repeat steps multiple times due to API quota errors and progress detection issues, which made the lab very stressful and time-consuming. The instructions should mention API limits, recommended settings (like sleep time), and how much data actually needs to be processed to pass the task. The progress checker should be more reliable and detect completion properly when the required variables and outputs are generated.
Vyankatesh T. · Reviewed 11 يوم ago
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