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

37567 reviews

Omaru M. · Reviewed 8 ימים ago

Rakshitha Sri G. · Reviewed 8 ימים ago

SRINI V. · Reviewed 8 ימים ago

Anandakumar S. · Reviewed 8 ימים ago

It is throwing an issue in this lab: ClientError: 429 RESOURCE_EXHAUSTED. {'error': {'code': 429, 'message': 'Quota exceeded for aiplatform.googleapis.com/online_prediction_requests_per_base_model with base model: textembedding-gecko. Please submit a quota increase request. https://cloud.google.com/vertex-ai/docs/generative-ai/quotas-genai.', 'status': 'RESOURCE_EXHAUSTED'}} I did what it says todo which is enable add_sleep_after_page = True and also increase the time. it didn't work

Carlos R. · Reviewed 8 ימים ago

The lab 'Multimodal Retrieval Augmented Generation (RAG) using the Gemini API in Agent Platform' has a known ValueError bug in intro_multimodal_rag_utils.py line 633. I fixed the code locally and generated the outputs, but the check progress button is failing.

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Sriram L. · Reviewed 9 ימים ago

better

Suba L. · Reviewed 9 ימים ago

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