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

36909 reviews

Somesh S. · Reviewed 3 أشهر ago

Vivek N. · Reviewed 3 أشهر ago

Divya R. · Reviewed 3 أشهر ago

Amritha V. · Reviewed 3 أشهر ago

Rohith V. · Reviewed 3 أشهر ago

Sarun K. · Reviewed 3 أشهر ago

Anuram V. · Reviewed 3 أشهر ago

Jenny Jolly M. · Reviewed 3 أشهر ago

Pranav B. · Reviewed 3 أشهر ago

Gowthaman N. · Reviewed 3 أشهر ago

Anisetti R. · Reviewed 3 أشهر ago

Sau Yee W. · Reviewed 3 أشهر ago

Kazuto K. · Reviewed 3 أشهر ago

BHANU TEJA KUMAR T. · Reviewed 3 أشهر ago

Kazuto K. · Reviewed 3 أشهر ago

MARCELO D. · Reviewed 3 أشهر ago

Pedro L. · Reviewed 3 أشهر 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 أشهر ago

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

Sogand A. · Reviewed 3 أشهر 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 أشهر 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 أشهر ago

Samruddhi S. D. · Reviewed 3 أشهر ago

Very frequent resource is exhausted.

Nitin P. · Reviewed 3 أشهر ago

Kazuto K. · Reviewed 3 أشهر ago

Kazuto K. · Reviewed 3 أشهر ago

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