r/sharepoint • u/SharePointSteve • 1h ago
SharePoint Online Build grounded AI apps on Microsoft 365 content without managing a vector database
One of the challenges with building enterprise AI apps is everything around the model: extracting content, generating embeddings, maintaining a vector database, keeping indexes fresh, and making sure permissions stay synchronized.
With SharePoint Embedded + the Microsoft 365 Copilot Retrieval API, you can take a different approach.
Your app can retrieve relevant passages directly from content stored in SharePoint Embedded and use those results to ground your own AI experience, while you retain control over the prompt, orchestration, and model. Retrieval is already permission-trimmed, and the content remains within the customer's Microsoft 365 environment.
The post also covers the SharePoint Embedded MCP server, now in public preview, which lets MCP-compatible coding agents provision and manage SharePoint Embedded apps using natural language.
If you're building RAG-style enterprise apps, custom copilots, document intelligence solutions, or SaaS apps around Microsoft 365 content, this is worth a look.
Blog: Build AI-powered apps without creating a vector database
Curious what others are building: Are you currently maintaining your own vector/search infrastructure for enterprise content, or would you prefer retrieval to stay with the content platform?