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Sean Perera Foundry IQ Badge Request #45

@seanperera

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@seanperera

Curriculum Completion Validation

  • I verify that I have completed all 3 Foundry IQ episode cookbooks end-to-end.

Ep 1 — Unlocking Knowledge for Agents: solution verification

  • I verify that I have uploaded a screenshot of my Episode 1 final notebook output with my GitHub username or Azure resource name shown into the field below.

Ep 1 — fork URL

https://github.com/seanperera/iq-series/tree/main/1-Foundry-IQ-Unlocking-Knowledge-for-Agents

Ep 1 — final output screenshot

Image

Ep 2 — Building the Data Pipeline with Knowledge Sources: solution verification

  • I verify that I have uploaded a screenshot of my Episode 2 final notebook output with my GitHub username or Azure resource name shown into the field below.

Ep 2 — fork URL

https://github.com/seanperera/iq-series/tree/main/2-Foundry-IQ-Building-the-Data-Pipeline-with-Knowledge-Sources

Ep 2 — final output screenshot

Image

Ep 3 — Querying the Multi-Source AI Knowledge Bases: solution verification

  • I verify that I have uploaded a screenshot of my Episode 3 final notebook output with my GitHub username or Azure resource name shown into the field below.

Ep 3 — fork URL

https://github.com/seanperera/iq-series/tree/main/3-Foundry-IQ-Querying-the-Multi-Source-AI-Knowledge-Bases

Ep 3 — final output screenshot

Image

Episode Insights & Key Takeaways

EP1 : Instead of an agent connecting to multiple data sources, Foundry IQ allows a single connection to an agent
EP2: Two categories of Foundry IQ knowledge sources Indexed and Remote. Sharepoint can be both indexed or a remote source. Also an MCP Server can be used to query data on other data sources.
EP3: Query Planning, Source Selection and Output merging all happens inside the knowledgebase. Ability to configure reasoning Effort : Minimal, Low, Medium. Knowledgebase is an agentic retrieval layer over multiple sources.

Challenges or feedback

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Badge form confirmation

  • I verify that I have completed the Foundry IQ badge form.

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