chore: import upstream snapshot with attribution
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@@ -0,0 +1,63 @@
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{
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"Logging": {
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"LogLevel": {
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"Default": "None"
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}
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},
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"AIServices": {
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"AzureOpenAI": {
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"Endpoint": "",
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"ChatDeploymentName": "gpt-4o"
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},
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"AzureOpenAIEmbeddings": {
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"Endpoint": "",
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"DeploymentName": "text-embedding-ada-002"
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},
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"OpenAI": {
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"ModelId": "gpt-4o",
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"ApiKey": "",
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"OrgId": null
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},
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"OpenAIEmbeddings": {
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"ModelId": "text-embedding-3-small",
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"ApiKey": "",
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"OrgId": null
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}
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},
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"VectorStores": {
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"AzureAISearch": {
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"Endpoint": "",
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"ApiKey": ""
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},
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"CosmosMongoDB": {
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"ConnectionString": "",
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"DatabaseName": ""
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},
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"CosmosNoSql": {
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"ConnectionString": "",
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"DatabaseName": ""
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},
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"Qdrant": {
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"Host": "localhost",
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"Port": 6334,
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"Https": false,
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"ApiKey": ""
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},
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"Redis": {
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"ConnectionConfiguration": "localhost:6379"
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},
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"Weaviate": {
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"Endpoint": "http://localhost:8080/v1/"
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}
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},
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"Rag": {
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"AIChatService": "OpenAI",
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"AIEmbeddingService": "OpenAIEmbeddings",
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"BuildCollection": true,
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"CollectionName": "pdfcontent",
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"DataLoadingBatchSize": 10,
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"DataLoadingBetweenBatchDelayInMilliseconds": 1000,
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"PdfFilePaths": [ "sourcedocument.pdf" ],
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"VectorStoreType": "InMemory"
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}
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}
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