透過 Agent Platform 的 Gemini API，實作多模態檢索增強生成 (RAG) 功能 Reviews

Navin N. · Reviewed 8 days ago

very nice experience

shalini S. · Reviewed 8 days ago

Aravind M. · Reviewed 8 days ago

Lochana N. · Reviewed 8 days ago

Sneha Y. · Reviewed 8 days ago

Vijay 2. · Reviewed 8 days ago

Omaru M. · Reviewed 8 days ago

Rakshitha Sri G. · Reviewed 8 days ago

SRINI V. · Reviewed 8 days ago

Anandakumar S. · Reviewed 8 days 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 days 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.

Baha A. · Reviewed 8 days ago

GIRDHARI K. · Reviewed 8 days ago

Rakshitha Sri G. · Reviewed 9 days ago

Harsha P. · Reviewed 9 days ago

Subashini G. · Reviewed 9 days ago

Praveen K. · Reviewed 9 days ago

Sruthi V. · Reviewed 9 days ago

Navaneedan S. · Reviewed 9 days ago

nani babu d. · Reviewed 9 days ago

Sweetha V. · Reviewed 9 days ago

chinthaparthi gowri p. · Reviewed 9 days ago

VIGNESH MOORTHI E. · Reviewed 9 days ago

jinkyu l. · Reviewed 9 days ago

Maran V. · Reviewed 9 days ago