Multimodal Retrieval Augmented Generation (RAG) using the Gemini API in Agent Platform recensioni

36237 recensioni

Janani K. · Recensione inserita 3 mesi fa

Preethi D. · Recensione inserita 3 mesi fa

Simarpreet Kaur S. · Recensione inserita 3 mesi fa

JINKA V. · Recensione inserita 3 mesi fa

DASOJU S. · Recensione inserita 3 mesi fa

Kamalesh K. · Recensione inserita 3 mesi fa

Sohan K. · Recensione inserita 3 mesi fa

Sindhiya S. · Recensione inserita 3 mesi fa

good

inbathamilan S. · Recensione inserita 3 mesi fa

Sindhiya S. · Recensione inserita 3 mesi fa

Julien P. · Recensione inserita 3 mesi fa

Kowsini S. · Recensione inserita 3 mesi fa

good

Praveen J. · Recensione inserita 3 mesi fa

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. · Recensione inserita 3 mesi fa

6268 K. · Recensione inserita 3 mesi fa

good

HEMAPRIYA P. · Recensione inserita 3 mesi fa

sᴀʀᴀɴ ʀ. · Recensione inserita 3 mesi fa

confusing for text search

pranav b. · Recensione inserita 3 mesi fa

Assuwathi G. · Recensione inserita 3 mesi fa

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. · Recensione inserita 3 mesi fa

Navjot S. · Recensione inserita 3 mesi fa

Sohan K. · Recensione inserita 3 mesi fa

HARI k. · Recensione inserita 3 mesi fa

Nithin K. · Recensione inserita 3 mesi fa

Gayathri G. · Recensione inserita 3 mesi fa

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