[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-73654":3},{"id":4,"name":5,"fullName":6,"owner":5,"repo":5,"description":7,"homepage":8,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":15,"stars7d":16,"stars30d":17,"stars90d":15,"forks30d":15,"starsTrendScore":15,"compositeScore":18,"rankGlobal":9,"rankLanguage":9,"license":19,"archived":20,"fork":20,"defaultBranch":21,"hasWiki":20,"hasPages":20,"topics":22,"createdAt":9,"pushedAt":9,"updatedAt":29,"readmeContent":30,"aiSummary":31,"trendingCount":15,"starSnapshotCount":15,"syncStatus":32,"lastSyncTime":33,"discoverSource":34},73654,"ragapp","ragapp\u002Fragapp","The easiest way to use Agentic RAG in any enterprise","",null,"TypeScript",4436,482,32,55,0,1,6,30.05,"Apache License 2.0",false,"main",[23,24,25,26,27,28],"agentic","agents","ai","docker","llamaindex","rag","2026-06-12 02:03:16","\u003Cp align=\"center\">\u003Cimg alt=\"Logo - RAGapp\" src=\"docs\u002Flogo.png\">\u003C\u002Fp>\n\n\u003Cp align=\"center\">\u003Cstrong>The easiest way to use Agentic RAG in any enterprise.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\u003Cp align=\"center\">As simple to configure as \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Findex\u002Fintroducing-gpts\" target=\"_blank\">OpenAI's custom GPTs\u003C\u002Fa>, but deployable in your own cloud infrastructure using Docker. Built using \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Frun-llama\u002Fllama_index\">LlamaIndex\u003C\u002Fa>.\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"#get-started\">\u003Cstrong>Get Started\u003C\u002Fstrong>\u003C\u002Fa> ·\n  \u003Ca href=\"#endpoints\">\u003Cstrong>Endpoints\u003C\u002Fstrong>\u003C\u002Fa> ·\n  \u003Ca href=\"#deployment\">\u003Cstrong>Deployment\u003C\u002Fstrong>\u003C\u002Fa> ·\n  \u003Ca href=\"#contact\">\u003Cstrong>Contact\u003C\u002Fstrong>\u003C\u002Fa> \n\u003C\u002Fp>\n\n\u003Cbr\u002F>\n\u003Cimg alt=\"Screenshot\" src=\"docs\u002Fscreenshot.png\">\n\n## Get Started\n\nTo run, start a docker container with our image:\n\n```shell\ndocker run -p 8000:8000 ragapp\u002Fragapp\n```\n\nThen, access the Admin UI at http:\u002F\u002Flocalhost:8000\u002Fadmin to configure your RAGapp.\n\nYou can use hosted AI models from OpenAI or Gemini, and local models using [Ollama](https:\u002F\u002Follama.com\u002F).\n\n> _Note_: To avoid [running into any errors](https:\u002F\u002Fgithub.com\u002Fragapp\u002Fragapp\u002Fissues\u002F22), we recommend using the latest version of Docker and (if needed) Docker Compose.\n\n## Endpoints\n\nThe docker container exposes the following endpoints:\n\n- Admin UI: http:\u002F\u002Flocalhost:8000\u002Fadmin\n- Chat UI: http:\u002F\u002Flocalhost:8000\n- API: http:\u002F\u002Flocalhost:8000\u002Fdocs\n\n> _Note_: The Chat UI and API are only functional if the RAGapp is configured.\n\n## Security\n\n### Authentication\n\nJust the RAGapp container doesn't come with any authentication layer by design. This is the task\nof an API Gateway routing the traffic to RAGapp.\nThis step heavily depends on your cloud provider and the services you use.\nFor a pure Docker Compose environment, you can look at our [RAGapp with management UI](.\u002Fdeployments\u002Fmultiple-ragapps) deployment.\n\n### Authorization\n\nLater versions of RAGapp will support restricting access based on access tokens forwarded from an API Gateway or similar.\n\n## Deployment\n\n### Using Docker Compose\n\nYou can easily deploy RAGapp to your own infrastructure with one of these Docker Compose deployments:\n\n1. [RAGapp with Ollama and Qdrant](.\u002Fdeployments\u002Fsingle)\n2. [Multiple RAGapps with a management UI](.\u002Fdeployments\u002Fmultiple-ragapps)\n\n### Kubernetes\n\nIt's easy to deploy RAGapp in your own cloud infrastructure. Customized K8S deployment descriptors are coming soon.\n\n## Development\n\n### RAGApp:\n\n> _Important_: Parts of this project's source code is dynamically retrieved from the [create-llama](https:\u002F\u002Fgithub.com\u002Frun-llama\u002Fcreate-llama) project. Before committing changes, make sure to update the source code by calling `make build-frontends`.\n\nMove to [src\u002Fragapp](src\u002Fragapp) directory and start with these commands:\n\n```shell\nexport ENVIRONMENT=dev\npoetry install --no-root\nmake build-frontends\nmake dev\n```\n\nThen, to check out the admin UI, go to http:\u002F\u002Flocalhost:3000\u002Fadmin.\n\n> _Note_: Make sure you have [Poetry](https:\u002F\u002Fpython-poetry.org\u002F) installed.\n\n## Contact\n\nQuestions, feature requests or found a bug? [Open an issue](https:\u002F\u002Fgithub.com\u002Fragapp\u002Fragapp\u002Fissues\u002Fnew\u002Fchoose) or reach out to [marcusschiesser](https:\u002F\u002Fgithub.com\u002Fmarcusschiesser).\n\n## Star History\n\n[![Star History Chart](https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=ragapp\u002Fragapp&type=Date)](https:\u002F\u002Fstar-history.com\u002F#ragapp\u002Fragapp&Date)\n","RAGapp 是一个旨在简化企业在任何环境中使用代理型检索增强生成（Agentic RAG）的工具。它通过 Docker 容器化部署，支持本地或云端基础设施，基于 LlamaIndex 构建，提供了简单易用的管理界面和 API 接口，允许用户配置并接入 OpenAI 或 Gemini 等外部 AI 模型及 Ollama 本地模型。该方案特别适合需要在自有云环境内安全可控地集成先进人工智能功能的企业场景，如客户服务、知识管理和内容生成等。项目开源且采用 Apache License 2.0 许可证，鼓励社区贡献与企业级应用。",2,"2026-06-11 03:46:34","high_star"]