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Artificial Intelligence

Connecting SharePoint Knowledge to AI

A practical architecture for making SharePoint content queryable by enterprise AI systems.

TRIADVI Engineering·7 min read·Technical Article

The sync pipeline

Power Automate can trigger on SharePoint document changes, pushing new or updated content to Azure Blob Storage where it becomes available for indexing — keeping the AI system's knowledge current without manual intervention.

Indexing considerations

Document structure, metadata, and permissions all need to carry through the indexing pipeline so that Azure AI Search can both retrieve relevant content and enforce access boundaries at query time.

Handling document updates and deletions

A production pipeline needs to handle not just new documents but updates and deletions — keeping the index synchronized with SharePoint as the source of truth.

From index to answer

Once indexed, content becomes available to Microsoft Foundry-orchestrated retrieval-augmented generation, enabling employees to ask natural-language questions and receive cited, grounded answers.

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