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4 changes: 2 additions & 2 deletions docs/DeploymentGuide.md
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Expand Up @@ -116,7 +116,7 @@ When you start the deployment, most parameters will have **default values**, but
| **Embedding Model** | OpenAI embedding model used for vector similarity. | `text-embedding-ada-002` |
| **Embedding Model Capacity** | Set the capacity for **embedding models**. Choose based on usage and quota. | `80` |
| **Image Tag** | The version of the Docker image to use (e.g., `latest`, `dev`, `hotfix`). | `latest` |
| **Azure OpenAI API Version** | Set the API version for OpenAI model deployments. | `2025-01-01-preview` |
| **Azure OpenAI API Version** | Set the API version for OpenAI model deployments. | `2025-04-01-preview` |
| **AZURE\_LOCATION** | Sets the Azure region for resource deployment. | `japaneast` |
| **Existing Log Analytics Workspace** | To reuse an existing Log Analytics Workspace ID instead of creating a new one. | *(empty)* |

Expand Down Expand Up @@ -211,7 +211,7 @@ This will rebuild the source code, package it into a container, and push it to t
```
if you don't have azd env then you need to pass parameters along with the command. Then the command will look like the following:
```shell
bash ./infra/scripts/process_sample_data.sh <resourceGroupName> <cosmosDbAccountName> <storageAccount> <storageContainerName> <keyvaultName> <sqlServerName> <sqlDatabaseName> <webAppUserManagedIdentityClientId> <webAppUserManagedIdentityDisplayName>
bash ./infra/scripts/process_sample_data.sh <resourceGroupName> <cosmosDbAccountName> <storageAccount> <storageContainerName> <keyvaultName> <sqlServerName> <sqlDatabaseName> <webAppUserManagedIdentityClientId> <webAppUserManagedIdentityDisplayName> <aiFoundryResourceName> <aiSearchResourceName>
```

2. **Add Authentication Provider**
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2 changes: 2 additions & 0 deletions infra/abbreviations.json
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@@ -1,6 +1,8 @@
{
"ai": {
"aiSearch": "srch-",
"aiFoundry": "aif-",
"aiFoundryProject": "aifp-",
"aiServices": "aisa-",
"aiVideoIndexer": "avi-",
"machineLearningWorkspace": "mlw-",
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