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status = StatusCode.RESOURCE_EXHAUSTED
details = "The following quota exhausted: MatchingEngineStreamUpdateThroughput."
debug_error_string = "UNKNOWN:Error received from peer ipv4:[REDACTED]:443 {grpc_message:"The following quota exhausted: MatchingEngineStreamUpdateThroughput.", grpc_status:8, created_time:"2023-10-17T19:08:25.548707816+00:00"}"
Questions
The default region quota for MatchingEngineStreamUpdateThroughput is 300 KB, which quota increase value should we ask for ?
Would you explain how to evaluate the needed value ?
Would it be possible to improve the notebook to prevent the quota increase need ?
Thanks in advance for your help
Ludovic
The text was updated successfully, but these errors were encountered:
holtskinner
changed the title
The following quota exhausted: MatchingEngineStreamUpdateThroughput.
The following quota exhausted: MatchingEngineStreamUpdateThroughputFeb 22, 2024
Hello,
Could you please help on this error running a notebook step ?
Notebook
Question Answering with Documents using LangChain 🦜️🔗 and Vertex AI Matching Engine
here: https://github.com/GoogleCloudPlatform/generative-ai/blob/main/language/use-cases/document-qa/question_answering_documents_langchain_matching_engine.ipynb
We get the same result on Google Colab and on a Vertex AI User managed notebook.
Step
doc_ids = me.add_texts(texts=texts, metadatas=metadatas)
Error
Questions
Thanks in advance for your help
Ludovic
The text was updated successfully, but these errors were encountered: