wehub-resource-sync
38 lines
1.2 KiB
Markdown
38 lines
1.2 KiB
Markdown
# Starting With Semantic Kernel Vector Stores
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This project contains a step by step guide to get started using Vector Stores with the Semantic Kernel.
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The examples can be run as integration tests but their code can also be copied to stand-alone programs.
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## Configuring Secrets
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Most of the examples will require secrets and credentials, to access OpenAI, Azure OpenAI,
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Vector Stores and other resources. We suggest using .NET
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[Secret Manager](https://learn.microsoft.com/aspnet/core/security/app-secrets)
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to avoid the risk of leaking secrets into the repository, branches and pull requests.
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You can also use environment variables if you prefer.
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To set your secrets with Secret Manager:
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```
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cd dotnet/samples/GettingStartedWithVectorStores
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dotnet user-secrets init
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dotnet user-secrets set "AzureOpenAIEmbeddings:DeploymentName" "..."
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dotnet user-secrets set "AzureOpenAIEmbeddings:Endpoint" "..."
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dotnet user-secrets set "AzureAISearch:Endpoint" "..."
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dotnet user-secrets set "AzureAISearch:ApiKey" "..."
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```
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To set your secrets with environment variables, use these names:
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```
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AzureOpenAIEmbeddings__DeploymentName
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AzureOpenAIEmbeddings__Endpoint
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AzureAISearch__Endpoint
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AzureAISearch__ApiKey
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```
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