azure-agentic-retrieval

Enable permission-aware retrieval and grounding across Azure AI Search, File Search, and SharePoint.

Updated May 24, 2026
One-click install
npx skills add https://github.com/FVossebeld/agent-skills-for-context-engineering --skill azure-agentic-retrieval
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: azure-agentic-retrieval
Source: https://github.com/FVossebeld/agent-skills-for-context-engineering/tree/main/azure/skills/azure-agentic-retrieval
Command: npx skills add https://github.com/FVossebeld/agent-skills-for-context-engineering --skill azure-agentic-retrieval

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Private grounded retrieval on Azure to maintain strict access controls, preserve document permissions, and provide context-rich signals for agents operating in enterprise environments.

Core Features & Use Cases

  • Azure-backed agentic retrieval enables secure, permission-aware context gathering from Azure AI Search, File Search, and SharePoint grounding.
  • Supports citations, retrieval traces, and controlled indexing to ensure traceability and governance in enterprise AI workflows.
  • Integrates with Foundry IQ knowledge layer and enterprise tooling to manage context at scale and enforce governance.

Quick Start

Configure an initial Azure-based retrieval pipeline to establish private, citation-rich context for your agents.

Frequently Asked Questions about azure-agentic-retrieval

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enforce document permissions when doing grounded retrieval for AI agents?

Permission-aware retrieval enforces document access controls by integrating Azure identity. This ensures agents only access context from Azure AI Search or SharePoint sources the user is explicitly authorized to view.

What is the best way to add citations and provenance to enterprise agent responses?

Agentic retrieval provides citations and retrieval traces to ensure traceability. This maintains governance by tracking exactly which knowledge sources contribute to the agent's generated context.

Can I use Azure AI Search and SharePoint together for private agent grounding?

Yes, Azure AI Search and SharePoint can be used together for private agent grounding. This combines multiple knowledge sources while preserving strict enterprise access controls and document permissions.

How do I configure an Azure-based retrieval pipeline for enterprise AI workflows?

Configure an Azure-based retrieval pipeline to establish private, citation-rich context for agents. This connects Azure AI Search and the Foundry IQ knowledge layer to manage enterprise context at scale.

Does Foundry IQ knowledge layer support governance controls for retrieved context?

Yes, the Foundry IQ knowledge layer supports governance controls for retrieved context. It manages context at scale and enforces governance while integrating with enterprise tooling to maintain traceability.

When should I use permission-aware retrieval instead of standard search for agents?

Use permission-aware retrieval instead of standard search when operating in enterprise environments requiring strict access controls. This preserves document permissions and provides citations for governance over knowledge sources.