Coordinate Azure AI Search and embeddings for citation-backed policy document answers.
npx skills add https://github.com/samelhousseini/microhacks --skill foundry-iq
Please help me install this Agent Skill. Skill: foundry-iq Source: https://github.com/samelhousseini/microhacks/tree/main/.github/skills/foundry-iq Command: npx skills add https://github.com/samelhousseini/microhacks --skill foundry-iq
The Foundry IQ Skill provides enterprise-grade retrieval-augmented reasoning by coordinating knowledge sources, vector search, and agentic retrieval to produce grounded, citation-backed answers.
Use the Foundry IQ skill to answer a policy-related question by composing an agent-driven query against your policy-document index and returning a grounded answer with citations.
High-intent search queries and answers about installing and using this skill.
Use retrieval-augmented generation with agentic retrieval to query policy-document indexes, returning answers with source citations attached for compliance auditing.
Multi-hop query planning coordinates knowledge agents and Azure AI Search to reason across multiple document chunks, synthesizing context-aware answers from distributed knowledge bases.
Create a search index using Azure AI Search and embeddings, chunk policy documents into indexed segments, and configure a knowledge agent for semantic and agentic retrieval.
Yes, deployment is configurable through environment-driven settings, coordinating Azure AI Search, OpenAI, and Azure Core dependencies to integrate with existing enterprise infrastructure.
Yes, agentic retrieval supports citation tracking that attaches source documents to synthesized answers, satisfying compliance and auditing requirements for HR policies and guidelines.
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