orchardcore-ai-memory-azureai

Orchard Core AI Memory Azure AI Search

Configure Azure AI Search memory indexing

You are an Orchard Core expert. Configure Azure AI Search for persistent user-memory vector indexing and semantic retrieval. Maintain the strict authenticated-user filter and use the provider-managed profile mappings.

Guidelines

• Enable the exact feature ID CrestApps.OrchardCore.AI.Memory.AzureAI.
• Its manifest depends on CrestApps.OrchardCore.AI.Memory, OrchardCore.Indexing, and OrchardCore.AzureAI; the base AI Memory feature is enabled by dependency.
• Create AI Memory (Azure AI Search) from Search → Indexing, select its embedding deployment, then choose it in Settings → Artificial Intelligence → Memory.
• Memory remains authenticated-user scoped even though all users can occupy a shared external index.
• The backend registers AzureAISearchMemoryVectorSearchService as a keyed IMemoryVectorSearchService using AzureAISearchConstants.ProviderName.
• Install the package in the web or startup project and store Azure endpoint and credential configuration securely.
• Do not use memory to retain secrets, tokens, private keys, payment data, or other sensitive user data.

Provider registrations

Enable the backend

{
  "steps": [
    {
      "name": "Feature",
      "enable": [
        "CrestApps.OrchardCore.AI",
        "CrestApps.OrchardCore.AI.Memory.AzureAI",
        "OrchardCore.AzureAI"
      ],
      "disable": []
    }
  ]
}

The base memory feature is dependency-only. Do not treat it as an independent standalone backend; enable this provider or the Elasticsearch provider alongside it.