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chore: import upstream snapshot with attribution
2026-07-13 13:21:23 +08:00

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