使用 Agent Platform 的 Gemini API，執行多模態檢索增強生成 (RAG) 功能 Reviews

Somesh S. · Reviewed 3 months ago

Vivek N. · Reviewed 3 months ago

Divya R. · Reviewed 3 months ago

Amritha V. · Reviewed 3 months ago

Rohith V. · Reviewed 3 months ago

Sarun K. · Reviewed 3 months ago

Anuram V. · Reviewed 3 months ago

Jenny Jolly M. · Reviewed 3 months ago

Pranav B. · Reviewed 3 months ago

Gowthaman N. · Reviewed 3 months ago

Anisetti R. · Reviewed 3 months ago

Sau Yee W. · Reviewed 3 months ago

Kazuto K. · Reviewed 3 months ago

BHANU TEJA KUMAR T. · Reviewed 3 months ago

Kazuto K. · Reviewed 3 months ago

MARCELO D. · Reviewed 3 months ago

Pedro L. · Reviewed 3 months ago

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. · Reviewed 3 months ago

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

Sogand A. · Reviewed 3 months ago

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

Fumiko K. · Reviewed 3 months ago

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. · Reviewed 3 months ago

Samruddhi S. D. · Reviewed 3 months ago

Very frequent resource is exhausted.

Nitin P. · Reviewed 3 months ago

Kazuto K. · Reviewed 3 months ago

Kazuto K. · Reviewed 3 months ago