Individual skill
orchardcore-ai-memory-azureai
Skill for indexing CrestApps Orchard Core AI Memory with Azure AI Search. Covers managed memory index mappings, embedding dimensions, user-scoped vector retrieval, index profiles, and Azure AI Search operations. Use this skill when requests mention AI Memory Azure AI Search, AIMemoryAzureAISearchIndexProfileHandler, AzureAISearchMemoryVectorSearchService, memory vector indexes, or Azure user-memory retrieval. Strong matches include work with CrestApps.OrchardCore.AI.Memory.AzureAI, IMemoryVectorSearchService, AIMemoryAzureAISearchDocumentIndexHandler, AddAzureAISearchIndexingSource, AzureAISearchIndexMetadata, and MemoryConstants.IndexingTaskType.
plugins/crestapps-orchardcore/skills/orchardcore-ai-memory-azureai/SKILL.md
Source commit d86d04f234b1b2bd8145368a2544490f9d557596
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- Last checked
- Nov 6, 2026
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- Repository last updated
- Oct 21, 2026
- License
- MIT
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- agent-skills Repository topic
- ai Repository topic
- ai-agents-framework Repository topic
- dotnet Repository topic
- mcp Repository topic
- mcp-server Repository topic
- orchardcore Repository topic
- operations Derived category
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# 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.