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yi-ge
f8485c1ed4
补齐 anythingllm/coze/dify/lobechat/n8n/open-webui/openclaw/ragflow 的 exposes 字段（http-api + 真实 docker 端口 + 公认 API 路径），使应用安装后能派生出 origin=app 的独立服务条目并生成 per-service Skill。端口取自各 manifest 的 install.requirements.ports，路径为各应用公认 API 前缀（需按真实部署核对）。
51 lines
1.3 KiB
JSON
51 lines
1.3 KiB
JSON
{
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"id": "ragflow",
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"name": "RagFlow",
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"type": "docker-app",
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"version": "0.24.0",
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"author": "InfiniFlow",
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"description": "基于深度文档理解的开源 RAG 引擎",
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"tags": [
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"RAG",
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"文档理解",
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"知识库"
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],
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"icon": "linear-gradient(135deg, #F97316, #EF4444)",
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"iconLetter": "R",
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"platformSupport": [
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"macos",
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"windows",
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"linux"
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],
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"category": "rag",
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"fullDesc": "RagFlow 是一款基于深度文档理解构建的开源 RAG 引擎。可以为各种规模的企业及个人提供流畅的 RAG 工作流，结合大语言模型（LLM）针对用户各类不同的复杂格式数据提供可靠的问答以及有理有据的引用。",
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"stars": 74500,
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"githubUrl": "https://github.com/infiniflow/ragflow",
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"shortDesc": "基于深度文档理解的开源 RAG 引擎",
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"install": {
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"method": "docker-compose",
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"requirements": {
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"docker": true,
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"minMemory": "8GB",
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"minDisk": "20GB",
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"ports": [
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9380,
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443,
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80
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]
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},
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"configNeeded": [
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"Docker 运行环境",
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"Elasticsearch / Infinity 数据库"
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]
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},
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"exposes": [
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{
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"type": "http-api",
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"port": 9380,
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"path": "/api/v1",
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"name": "RagFlow API"
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}
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]
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}
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