wehub-resource-sync
47 lines
1.4 KiB
Markdown
47 lines
1.4 KiB
Markdown
# Starting With Semantic Kernel
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This project contains a step by step guide to get started using Text Search 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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Bing 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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**NOTE**
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The `Step2_Search_For_RAG.RagWithBingTextSearchUsingFullPagesAsync` sample requires a large context window so we recommend using `gpt-4o` or `gpt-4o-mini` models.
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To set your secrets with Secret Manager:
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```
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cd dotnet/samples/Concepts
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dotnet user-secrets init
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dotnet user-secrets set "OpenAI:EmbeddingModelId" "..."
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dotnet user-secrets set "OpenAI:ChatModelId" "..."
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dotnet user-secrets set "OpenAI:ApiKey" "..."
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dotnet user-secrets set "Bing:ApiKey" "..."
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dotnet user-secrets set "Google:SearchEngineId" "..."
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dotnet user-secrets set "Google: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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OpenAI__EmbeddingModelId
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OpenAI__ChatModelId
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OpenAI__ApiKey
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Bing__ApiKey
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Google__SearchEngineId
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Google__ApiKey
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```
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