Unverified50% confidenceFactExact time
RAGFlow's Agent module uses workflow-style orchestration, similar in form to the visual flows in Dify or Coze.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/27/2026
First Seen
Valid until: 1/25/2027
Sources
A Complete Guide to Local RAGFlow Deployment and RAG in Practice
bilibili大模型技术栈10/25/2026
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Related Claims
VerifiedIn RAG scenarios, an Agent can determine whether retrieval is needed, which knowledge base to retrieve from, and whether multiple rounds of retrieval or external tool calls are required, while a workflow orchestrates multiple steps into a directed graph supporting conditional branching, parallel processing, and loop iteration.69% similarUnverifiedRAGFlow's Agent workflow consists of several predefined nodes, with common types including the start node, knowledge base retrieval node, LLM generation node, conditional branch node, code execution node, and end node.67% similarUnverifiedBackground Agents的底层依赖于Agent Loop架构，通过RAG技术索引整个项目代码库，并通过工具调用执行文件读写、终端命令、代码搜索等操作67% similarUnverifiedAgentScope places observability at the core of the framework's design.67% similarUnverifiedThe plugin renders the entire agent codebase as an interactive graph, with agents, tools, and the control flow between them presented as nodes and edges.67% similar
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