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id=\"主要功能\">主要功能\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>“质量输入，质量输出”\u003C\u002Fstrong>：基于深度文档理解的知识提取，从非结构化数据中提取复杂格式的信息\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Agent 工作流\u003C\u002Fstrong>：支持 Agentic workflow 和 MCP（Model Context Protocol）\u003C\u002Fli>\n\u003Cli>\u003Cstrong>多数据源同步\u003C\u002Fstrong>：支持 Confluence、S3、Notion、Discord、Google Drive 等数据源同步\u003C\u002Fli>\n\u003Cli>\u003Cstrong>多模态支持\u003C\u002Fstrong>：支持对 PDF 或 DOCX 文件中的图像进行多模态模型理解\u003C\u002Fli>\n\u003Cli>\u003Cstrong>多种解析方法\u003C\u002Fstrong>：支持 MinerU 和 Docling 作为文档解析方式\u003C\u002Fli>\n\u003Cli>\u003Cstrong>多渠道集成\u003C\u002Fstrong>：支持飞书、Discord、Telegram、Line 等多个聊天渠道\u003C\u002Fli>\n\u003Cli>\u003Cstrong>AI Agent 记忆\u003C\u002Fstrong>：支持 AI Agent 的“记忆”功能\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"适用人群\">适用人群\u003C\u002Fh2>\u003Cul>\n\u003Cli>需要构建 RAG 应用的企业和开发者\u003C\u002Fli>\n\u003Cli>希望将 LLM 与私有数据结合的数据科学家\u003C\u002Fli>\n\u003Cli>对 Agent 化工作流感兴趣的技术团队\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"快速上手\">快速上手\u003C\u002Fh2>\u003Col>\n\u003Cli>试用云服务：\u003Ca href=\"https:\u002F\u002Fcloud.ragflow.io\" target=\"_blank\" rel=\"noopener noreferrer\">https:\u002F\u002Fcloud.ragflow.io\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>查看\u003Ca href=\"https:\u002F\u002Fragflow.io\u002Fdocs\u002Fdev\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">官方文档\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>参考\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Finfiniflow\u002Fragflow\u002Fissues\u002F12241\" target=\"_blank\" rel=\"noopener noreferrer\">路线图\u003C\u002Fa>了解未来计划\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch2 id=\"核心优势\">核心优势\u003C\u002Fh2>\u003Cul>\n\u003Cli>深度文档理解能力，支持复杂格式数据\u003C\u002Fli>\n\u003Cli>RAG 与 Agent 能力深度融合\u003C\u002Fli>\n\u003Cli>支持多种数据源和渠道集成\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"系统要求\">系统要求\u003C\u002Fh2>\u003Cul>\n\u003Cli>操作系统：跨平台（支持 Docker 部署）\u003C\u002Fli>\n\u003C\u002Ful>\n",1794593706461]