{"id":30907169,"url":"https://github.com/siteserver/ssrag","last_synced_at":"2025-09-09T12:09:56.391Z","repository":{"id":313774868,"uuid":"1052608045","full_name":"siteserver/ssrag","owner":"siteserver","description":"SSRAG 知识库 - 基于 LLM 的开源 AI 知识库平台","archived":false,"fork":false,"pushed_at":"2025-09-08T10:59:54.000Z","size":48,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-09-08T12:25:28.884Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://ssrag.com","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"agpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/siteserver.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-09-08T09:44:31.000Z","updated_at":"2025-09-08T11:00:52.000Z","dependencies_parsed_at":"2025-09-08T12:25:30.504Z","dependency_job_id":"886d1e83-3c69-4d4b-af49-36734dea7669","html_url":"https://github.com/siteserver/ssrag","commit_stats":null,"previous_names":["siteserver/ssrag"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/siteserver/ssrag","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/siteserver%2Fssrag","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/siteserver%2Fssrag/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/siteserver%2Fssrag/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/siteserver%2Fssrag/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/siteserver","download_url":"https://codeload.github.com/siteserver/ssrag/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/siteserver%2Fssrag/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274292948,"owners_count":25258173,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-09T02:00:10.223Z","response_time":80,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-09-09T12:09:55.335Z","updated_at":"2025-09-09T12:09:56.368Z","avatar_url":"https://github.com/siteserver.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SSRAG\n\nSSRAG 是基于 LLM 的开源知识库平台，涵盖内容管理（CMS）、知识库问答（RAG）、可视化 AI 工作流编排（Workflow）到智能体（Agent）的全面应用。\n\nSSRAG 针对企业级客户开发，完全开源免费，可以用于商业用途不需要支付任何产品或授权费用。\n\n## 产品特性\n\n**开箱即用**\n\n可以部署在本地，也可以使用 SSRAG 云服务，支持开源版本私有化部署，开箱即用。\n\n**内容管理**\n\nSSRAG 架构在 SSCMS 之上，除了将各类文档作为知识库，系统还可以将网站内容直接作为知识库，无需额外配置。\n\n**可视化工作流**\n\n通过 AI 可视化工作流编排能力，能够实现从问题输入到模型输出的完整流程定义，便于调试和设计复杂流程。\n\n**主流大模型**\n\nSSRAG 支持近百种大语言模型及向量模型，涵盖了国内外主流模型，如：Qwen、DeepSeek、OpenAI、Gemini、Llama、Mistral 等，便于你轻松访问、自由切换并对比不同模型的性能。\n\n**数据处理能力**\n\nSSRAG 知识库系统支持各种类型的导入文档格式，包括：PDF、PowerPoint、Word、Excel、Images、Audio、HTML、Markdown、文本文件(txt、csv、json、xml...)、ZIP 压缩包、EPubs 等。\n\n**渐进式能力升级**\n\n从基础问答（RAG）开始，逐步升级到复杂流程自动化（Workflow）， 最终实现智能体（Agent）的全面应用。\n\n## 按月迭代\n\nSSRAG 将每月发布新版本，快速响应用户需求，持续优化产品体验。 确保您始终享受到最新的 AI 技术和功能特性。\n\n## 参与贡献\n\nSSRAG 是一款完全开源的产品，源代码托管在 [Github](https://github.com/siteserver/ssrag) 之上，如果对产品满意，还请到 Github 中为我们标星，产品 bug 或建议请提交到 [Github issues](https://github.com/siteserver/ssrag/issues/) 中，bug 我们将第一时间修复，建议我们将尽可能通过产品或插件满足；从提交问题，撰写文档，到提交代码，我们欢迎并期待任何形式的贡献！\n\n您也可以通过 [码云](https://gitee.com/siteserver/ssrag) 获取最新源码或 [提交 bug 或建议](https://gitee.com/siteserver/ssrag/issues)。\n\n## 关注最新动态\n\n[![qrcode](https://sscms.com/assets/images/qrcode_for_wx.jpg)](https://ssrag.com/)\n\n## License\n\n[GNU Affero General Public License v3.0](LICENSE)\n\nCopyright (C) 2003-2025 SSRAG\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsiteserver%2Fssrag","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsiteserver%2Fssrag","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsiteserver%2Fssrag/lists"}