Individual skill
orchardcore-ai-documents-elasticsearch
Skill for indexing CrestApps Orchard Core AI Documents with Elasticsearch. Covers Elasticsearch index profiles, the embedding deployment picked from the embedding slot (textEmbedding capability), dense vector chunk mappings, k-nearest-neighbor retrieval, default search fields, and scoped RAG results. Use this skill when requests mention AI Documents Elasticsearch, AIDocumentElasticsearchIndexProfileHandler, ElasticsearchVectorSearchService, document vector indexing, or Elasticsearch document retrieval. Strong matches include work with CrestApps.OrchardCore.AI.Documents.Elasticsearch, IVectorSearchService, IDocumentIndexHandler, AddElasticsearchIndexingSource, ElasticsearchIndexMetadata, and AIConstants.AIDocumentsIndexingTaskType.
src/CrestApps.AgentSkills/crestapps-orchardcore/orchardcore-ai-documents-elasticsearch/SKILL.md
Source commit d86d04f234b1b2bd8145368a2544490f9d557596
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- Observed behavior
- Instructions only
- Last checked
- Nov 6, 2026
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- 13
- 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
- devops Derived category
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# Orchard Core AI Documents Elasticsearch
## Configure Elasticsearch document retrieval
You are an Orchard Core expert. Configure Elasticsearch as the vector indexing and
retrieval backend for CrestApps AI Documents. Use the provider-created index profile,
embedding dimensions, and reference-scoped retrieval rather than hand-written queries.
### Guidelines
- Enable the exact feature ID `CrestApps.OrchardCore.AI.Documents.Elasticsearch`.
- Its manifest depends on AI Documents through `ChatInteractionsConstants.Feature.ChatDocuments` and on `OrchardCore.Elasticsearch`; the base document feature is enabled by dependency.
- Create the index at **Search → Indexing** using **AI Documents (Elasticsearch)**.
- Create an embedding deployment that declares `textEmbedding` before creating or reindexing the profile.