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Merge branch 'main' into monitoring-cli-samples
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ahughes-msft authored Jul 26, 2023
2 parents 7a36f47 + 7626e1a commit 0e2e777
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2 changes: 1 addition & 1 deletion sdk/python/generative-ai/rag/TROUBLESHOOT.md
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If a pipeline fails in llm_rag_validate_deployments component, then it indicates that the RAG pipeline is unable to access model deployments from Azure Open AI connection. Some of the common scenarios include

- Incorrect API Base or Key for the Azure Open AI workspace connection.
- Deployment for selected model name (ex. text-embedding-ada-002, text-davinci-003, gpt-35-turbo, gpt-4 etc.) does not exist on the AOAI resource.
- Deployment for selected model name (ex. text-embedding-ada-002, gpt-35-turbo, gpt-4 etc.) does not exist on the AOAI resource.
- Incorrect deployment name for the selected AOAI model.

## Unable to retrieve OBO tokens for resource
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"outputs": [],
"source": [
"%pip install azure-ai-ml\n",
"%pip install -U 'azureml-rag[faiss]>=0.1.11'"
"%pip install -U 'azureml-rag[faiss]>=0.1.14'"
]
},
{
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"\n",
"\n",
"aoai_embedding_model_name = \"text-embedding-ada-002\"\n",
"aoai_completion_model_name = \"text-davinci-003\"\n",
"aoai_completion_model_name = \"gpt-35-turbo\"\n",
"\n",
"aoai_embedding_deployment_name = deployment_infer(aoai_embedding_model_name)\n",
"print(\n",
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"outputs": [],
"source": [
"%pip install azure-ai-ml\n",
"%pip install -U 'azureml-rag[faiss]>=0.1.11'"
"%pip install -U 'azureml-rag[faiss]>=0.1.14'"
]
},
{
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