Guide — Updated August 2026
Understand agentic retrieval — how knowledge bases plan subqueries, rerank, and synthesize grounded answers.
Agentic retrieval goes beyond a single vector query. This guide explains how it plans, reranks, and synthesizes — and when to use it.
This guide explains Azure AI Search agentic retrieval: a knowledge base (orchestrator) with a retrieve action over indexed and remote knowledge sources, an LLM decomposing queries into parallel subqueries at low/medium reasoning effort, semantic reranking of each, result merging, and optional answer synthesis. Core is GA in the 2026-04-01 REST API; synthesis and non-web sources are in 2026-05-01-preview. It also covers how Foundry IQ builds on this.
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