TURA: Tool-Augmented Unified Retrieval Agent for AI Search
Topics: LLMO / GEO, Query Fan Out, Retrieval Augmented Generation (RAG)
The paper from BAIDU introduces TURA (Tool-Augmented Unified Retrieval Agent for AI Search), a new framework designed to enhance the capabilities of AI-based search systems. TURA addresses the limitations of traditional Retrieval-Augmented Generation (RAG) models that primarily rely on static data, making them inadequate for dynamic queries that require real-time information. The framework consists of three main components: an Intent-Aware Retrieval module, a Directed Acyclic Graph (DAG)-based Task Planner, and a lightweight Distilled Agent Executor. This innovative architecture allows TURA to provide accurate and timely responses to user queries while efficiently managing complex reasoning tasks.
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