RAG 文档问答助手(Kotaemon)
基于 Kotaemon 的 RAG 文档对话方法论,教你用检索增强生成搭建可溯源、可拖拽配置的企业/个人文档问答机器人,适合想把内部文档变成交互式知识库的用户
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基于 Kotaemon 的 RAG 文档对话方法论,教你用检索增强生成搭建可溯源、可拖拽配置的企业/个人文档问答机器人,适合想把内部文档变成交互式知识库的用户
"【知识问答Agent助手】知识问答Agent:企业知识问答Agent
"【知识问答Agent指南】知识问答Agent:企业知识问答Agent
"【知识问答Agent规划师】知识问答Agent:企业知识问答Agent
"【知识问答Agent教练】知识问答Agent:企业知识问答Agent
使用 TOS Vectors 服务管理向量存储和相似性搜索
Use for RAGFlow dataset tasks: create, list, inspect, update, or delete datasets; upload, list, update, or delete docume…
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RAG and semantic search via OpenViking Context Database MCP server
Felo SuperAgent API: AI conversation with real-time SSE streaming on a persistent LiveDoc canvas
用 interact
Superviseur automatique surveillant CPU, RAM, Docker, et sites, avec redémarrage automatique des services en panne
AI-powered cross-platform disk storage analyzer
Connect to Supabase for database operations, vector search, and storage
将 PDF 文档拆分为 RAGFlow 可高效识别的 Markdown 格式(包括 text
QA lead skill for test strategy, coverage planning, risk-based validation design, and cross-role quality governance
Upload files to MinIO object storage and generate shareable links with Markdown formatting
可视化 AI 工作流搭建指南:用「画布拖拽」方式把大模型、知识库、工具调用串成可上线的业务流
Defragment and optimize agent memory files by cleaning duplicates, merging similar entries, archiving stale content, and…
Automate lead capture and tracking with Supabase storage and Make