Foundry IQ in Action: Agentic Retrieval for Foundry Agents and Copilot Studio

ESPC

ESPC

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Every new agent seems to start the same way: another index, another chunking strategy, another set of credentials, another retrieval pipeline to maintain. Foundry IQ changes that equation. It gives you a reusable, permission-aware knowledge layer that any number of agents can share, whether those agents live in #MicrosoftFoundry Agent Service or in #CopilotStudio.

In this session, David Lorenzo and Rafsan Huseynov build the whole thing live. We start with the theory: what a knowledge base actually is, how knowledge sources differ from a classic single-shot RAG index, and why agentic retrieval; query planning, parallel sub-queries, semantic reranking, and iterative search produces meaningfully better answers on ambiguous, multi-step questions.

Then we build. We create a knowledge base backed by multiple knowledge sources, tune the agentic retrieval prompt and reasoning effort to trade latency against quality, and wire up authentication properly using managed identities and Entra ID rather than keys. Finally, we connect two very different agents, one pro-code in Foundry, one low-code in Copilot Studio, to the same knowledge base, and watch them return grounded, cited answers that respect the user’s permissions.

You’ll leave with a repeatable architecture pattern you can take back to your own tenant on Monday.

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