Foundry IQ Agentic Retrieval
Configure Foundry IQ agentic retrieval — query decomposition, semantic reranking, and answer synthesis across enterprise knowledge sources.
Agentic retrieval is more than vector search — it plans subqueries, reranks, and can synthesize an answer. Tuning reasoning effort and sources for quality and cost is the hard part.
Foundry IQ agentic retrieval, built on Azure AI Search, uses an LLM to decompose a query into parallel subqueries at low/medium reasoning effort, semantically reranks each with the semantic ranker, and merges results — optionally returning a synthesized answer. We help you configure knowledge bases and the retrieve action, choose reasoning effort (minimal/low/medium), wire indexed and remote knowledge sources, and tune for groundedness, latency, and cost.
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