title: "エージェントRAGの説明:AIエージェントによるよりスマートな検索"

Agentic Retrieval-Augmented Generation (RAG) enhances traditional AI search by incorporating intelligent agents that adapt in real-time. These agents can dynamically break down complex questions into a series of smaller, manageable tasks. They then strategically search across multiple data sources, tools, and systems to gather the most relevant information for each sub-task. This advanced, multi-step reasoning process allows the system to deliver far more accurate, flexible, and context-aware answers for complex workplace queries.