> ## Documentation Index
> Fetch the complete documentation index at: https://mintlify.com/MicrosoftDocs/azure-ai-docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Agentic Retrieval Overview

> Multi-query pipeline for complex agent workflows with LLM-assisted query planning and parallel retrieval.

# Agentic Retrieval Overview

Agentic retrieval transforms complex user questions into focused subqueries, executes them in parallel, and returns a comprehensive, agent-optimized response.

## Key Features

* **LLM Query Planning**: Automatically decomposes complex questions
* **Parallel Execution**: Runs multiple searches simultaneously
* **Multi-Source**: Queries indexed and remote knowledge sources
* **Semantic Reranking**: Promotes most relevant results
* **Agent-Optimized Response**: Structured output for downstream consumption

## Architecture

Knowledge Base orchestrates the entire pipeline, connecting to LLMs for planning and knowledge sources for retrieval.

## When to Use

* Complex multi-part questions
* Agent-to-agent workflows
* RAG applications requiring high-quality grounding
* Multi-source data scenarios

See [Agentic Retrieval Concepts](/search/concepts/agentic-retrieval) for detailed information.