Multimodal Retrieval Augmented Generation (RAG) using the Gemini API in Agent Platform Reviews
37568 reviews
Vijay 2. · Reviewed 8 أيام ago
Omaru M. · Reviewed 8 أيام ago
Rakshitha Sri G. · Reviewed 8 أيام ago
SRINI V. · Reviewed 8 أيام ago
Anandakumar S. · Reviewed 8 أيام 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 أيام 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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