Multimodal Retrieval Augmented Generation (RAG) using the Gemini API in Agent Platform avis
36909 avis
Somesh S. · Examiné il y a 3 mois
Vivek N. · Examiné il y a 3 mois
Divya R. · Examiné il y a 3 mois
Amritha V. · Examiné il y a 3 mois
Rohith V. · Examiné il y a 3 mois
Sarun K. · Examiné il y a 3 mois
Anuram V. · Examiné il y a 3 mois
Jenny Jolly M. · Examiné il y a 3 mois
Pranav B. · Examiné il y a 3 mois
Gowthaman N. · Examiné il y a 3 mois
Anisetti R. · Examiné il y a 3 mois
Sau Yee W. · Examiné il y a 3 mois
Kazuto K. · Examiné il y a 3 mois
BHANU TEJA KUMAR T. · Examiné il y a 3 mois
Kazuto K. · Examiné il y a 3 mois
MARCELO D. · Examiné il y a 3 mois
Pedro L. · Examiné il y a 3 mois
fail Vertex AI!!!! Task 4. Build metadata of documents containing text and images ResourceExhausted: 429 Resource exhausted. Please try again later. Please refer to https://cloud.google.com/vertex-ai/generative-ai/docs/error-code-429 for more details.
Teodoro C. · Examiné il y a 3 mois
it was impossible to run the lab within an hour, keep getting 429 error!!!!!
Sogand A. · Examiné il y a 3 mois
We are constantly receiving 429 errors. At this point, it is impossible to tell whether any progress is being made at all.
Fumiko K. · Examiné il y a 3 mois
The lab could not be completed due to repeated 429 quota/rate limit errors during the core metadata extraction step using Gemini multimodal processing. The issue occurred specifically in the `get_document_metadata()` pipeline while processing PDF pages and generating image descriptions/embeddings. Even after: * reducing the number of pages, * enabling `add_sleep_after_page=True`, * increasing sleep intervals significantly, * simplifying prompts, * and retrying multiple times, the process still failed repeatedly with 429 errors. Because `text_metadata_df` and `image_metadata_df` could not be generated successfully, the following RAG retrieval and similarity search steps could not be completed. This appears to be an infrastructure/shared quota issue rather than a user-side implementation problem. Since this metadata extraction step is the core part of the lab, the lab became effectively impossible to complete within the allocated session time and credits.
Jiwoon J. · Examiné il y a 3 mois
Samruddhi S. D. · Examiné il y a 3 mois
Very frequent resource is exhausted.
Nitin P. · Examiné il y a 3 mois
Kazuto K. · Examiné il y a 3 mois
Kazuto K. · Examiné il y a 3 mois
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