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

Somesh S. · Recensione inserita 3 mesi fa

Vivek N. · Recensione inserita 3 mesi fa

Divya R. · Recensione inserita 3 mesi fa

Amritha V. · Recensione inserita 3 mesi fa

Rohith V. · Recensione inserita 3 mesi fa

Sarun K. · Recensione inserita 3 mesi fa

Anuram V. · Recensione inserita 3 mesi fa

Jenny Jolly M. · Recensione inserita 3 mesi fa

Pranav B. · Recensione inserita 3 mesi fa

Gowthaman N. · Recensione inserita 3 mesi fa

Anisetti R. · Recensione inserita 3 mesi fa

Sau Yee W. · Recensione inserita 3 mesi fa

Kazuto K. · Recensione inserita 3 mesi fa

BHANU TEJA KUMAR T. · Recensione inserita 3 mesi fa

Kazuto K. · Recensione inserita 3 mesi fa

MARCELO D. · Recensione inserita 3 mesi fa

Pedro L. · Recensione inserita 3 mesi fa

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. · Recensione inserita 3 mesi fa

it was impossible to run the lab within an hour, keep getting 429 error!!!!!

Sogand A. · Recensione inserita 3 mesi fa

We are constantly receiving 429 errors. At this point, it is impossible to tell whether any progress is being made at all.

Fumiko K. · Recensione inserita 3 mesi fa

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. · Recensione inserita 3 mesi fa

Samruddhi S. D. · Recensione inserita 3 mesi fa

Very frequent resource is exhausted.

Nitin P. · Recensione inserita 3 mesi fa

Kazuto K. · Recensione inserita 3 mesi fa

Kazuto K. · Recensione inserita 3 mesi fa