diff --git a/404.html b/404.html index 9eeecd4f..bcd20ce3 100644 --- a/404.html +++ b/404.html @@ -4,8 +4,8 @@ OpenRAG - - + + diff --git a/agents/index.html b/agents/index.html index bedca73a..cebd0801 100644 --- a/agents/index.html +++ b/agents/index.html @@ -4,14 +4,14 @@ Langflow in OpenRAG | OpenRAG - - + + -
Skip to main content

Langflow in OpenRAG

OpenRAG leverages Langflow's Agent component to power the OpenRAG OpenSearch Agent flow.

+

Langflow in OpenRAG

OpenRAG leverages Langflow's Agent component to power the OpenRAG OpenSearch Agent flow.

Flows in Langflow are functional representations of application workflows, with multiple component nodes connected as single steps in a workflow.

In the OpenRAG OpenSearch Agent flow, components like the Langflow Agent component and OpenSearch component are connected to intelligently chat with your knowledge by embedding your query, comparing it the vector database embeddings, and generating a response with the LLM.

OpenRAG Open Search Agent Flow

@@ -51,7 +51,7 @@ OpenRAG warns you that this discards all custom settings. Click Restore<

  • Langflow offers component bundles to integrate with many popular vector stores, AI/ML providers, and search APIs.

    • -
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The Tool object's description tells the agent what the tool can do so that it can decide whether the tool is appropriate for a given request."})]}),"\n",(0,s.jsx)(n.h2,{id:"flow",children:"Use the OpenRAG OpenSearch Agent flow"}),"\n",(0,s.jsxs)(n.p,{children:["If you've chatted with your knowledge in OpenRAG, you've already experienced the OpenRAG OpenSearch Agent chat flow.\nTo switch OpenRAG over to the ",(0,s.jsx)(n.a,{href:"https://docs.langflow.org/concepts-overview",children:"Langflow visual editor"})," and view the OpenRAG OpenSearch Agentflow, click ",(0,s.jsx)(i.A,{name:"Settings2","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Settings"}),", and then click ",(0,s.jsx)(n.strong,{children:"Edit in Langflow"}),".\nThis flow contains eight components connected together to chat with your data:"]}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["The ",(0,s.jsxs)(n.a,{href:"https://docs.langflow.org/agents",children:[(0,s.jsx)(n.strong,{children:"Agent"})," component"]})," orchestrates the entire flow by deciding when to search the knowledge base, how to formulate search queries, and how to combine retrieved information with the user's question to generate a comprehensive response.\nThe ",(0,s.jsx)(n.strong,{children:"Agent"})," behaves according to the prompt in the ",(0,s.jsx)(n.strong,{children:"Agent Instructions"})," field."]}),"\n",(0,s.jsxs)(n.li,{children:["The ",(0,s.jsxs)(n.a,{href:"https://docs.langflow.org/components-io",children:[(0,s.jsx)(n.strong,{children:"Chat Input"})," component"]})," is connected to the Agent component's Input port. This allows to flow to be triggered by an incoming prompt from a user or application."]}),"\n",(0,s.jsxs)(n.li,{children:["The ",(0,s.jsxs)(n.a,{href:"https://docs.langflow.org/bundles-elastic#opensearch",children:[(0,s.jsx)(n.strong,{children:"OpenSearch"})," component"]})," is connected to the Agent component's Tools port. The agent may not use this database for every request; the agent only uses this connection if it decides the knowledge can help respond to the prompt."]}),"\n",(0,s.jsxs)(n.li,{children:["The ",(0,s.jsxs)(n.a,{href:"https://docs.langflow.org/components-models",children:[(0,s.jsx)(n.strong,{children:"Language Model"})," component"]})," is connected to the Agent component's Language Model port. The agent uses the connected LLM to reason through the request sent through Chat Input."]}),"\n",(0,s.jsxs)(n.li,{children:["The ",(0,s.jsxs)(n.a,{href:"https://docs.langflow.org/components-embedding-models",children:[(0,s.jsx)(n.strong,{children:"Embedding Model"})," component"]})," is connected to the OpenSearch component's Embedding port. This component converts text queries into vector representations that are compared with document embeddings stored in OpenSearch for semantic similarity matching. This gives your Agent's queries context."]}),"\n",(0,s.jsxs)(n.li,{children:["The ",(0,s.jsxs)(n.a,{href:"https://docs.langflow.org/components-io",children:[(0,s.jsx)(n.strong,{children:"Text Input"})," component"]})," is populated with the global variable ",(0,s.jsx)(n.code,{children:"OPENRAG-QUERY-FILTER"}),".\nThis filter is the ",(0,s.jsx)(n.a,{href:"/knowledge#create-knowledge-filters",children:"Knowledge filter"}),", and filters which knowledge sources to search through."]}),"\n",(0,s.jsxs)(n.li,{children:["The ",(0,s.jsx)(n.strong,{children:"Agent"})," component's Output port is connected to the ",(0,s.jsxs)(n.a,{href:"https://docs.langflow.org/components-io",children:[(0,s.jsx)(n.strong,{children:"Chat Output"})," component"]}),", which returns the final response to the user or application."]}),"\n",(0,s.jsxs)(n.li,{children:["An ",(0,s.jsxs)(n.a,{href:"https://docs.langflow.org/mcp-client",children:[(0,s.jsx)(n.strong,{children:"MCP Tools"})," component"]})," is connected to the Agent's ",(0,s.jsx)(n.strong,{children:"Tools"})," port. This component calls the ",(0,s.jsx)(n.a,{href:"/ingestion#url-flow",children:"OpenSearch URL Ingestion flow"}),", which Langflow uses as an MCP server to fetch content from URLs and store in OpenSearch."]}),"\n"]}),"\n",(0,s.jsx)(a.Ay,{}),"\n",(0,s.jsxs)(n.p,{children:["For an example of changing out the agent's language model in OpenRAG, see the ",(0,s.jsx)(n.a,{href:"/quickstart#change-components",children:"Quickstart"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["To restore the flow to its initial state, in OpenRAG, click ",(0,s.jsx)(i.A,{name:"Settings2","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Settings"}),", and then click ",(0,s.jsx)(n.strong,{children:"Restore Flow"}),".\nOpenRAG warns you that this discards all custom settings. Click ",(0,s.jsx)(n.strong,{children:"Restore"})," to restore the flow."]}),"\n",(0,s.jsx)(n.h2,{id:"additional-langflow-functionality",children:"Additional Langflow functionality"}),"\n",(0,s.jsx)(n.p,{children:"Langflow includes features beyond Agents to help you integrate OpenRAG into your application, and all Langflow features are included in OpenRAG."}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Langflow can serve your flows as an ",(0,s.jsx)(n.a,{href:"https://docs.langflow.org/mcp-server",children:"MCP server"}),", or consume other MCP servers as an ",(0,s.jsx)(n.a,{href:"https://docs.langflow.org/mcp-client",children:"MCP client"}),". Get started with the ",(0,s.jsx)(n.a,{href:"https://docs.langflow.org/mcp-tutorial",children:"MCP tutorial"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["If you don't see the component you need, extend Langflow's functionality by creating ",(0,s.jsx)(n.a,{href:"https://docs.langflow.org/components-custom-components",children:"custom Python components"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Langflow offers component ",(0,s.jsx)(n.a,{href:"https://docs.langflow.org/components-bundle-components",children:"bundles"})," to integrate with many popular vector stores, AI/ML providers, and search APIs."]}),"\n"]}),"\n"]})]})}function g(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(p,{...e})}):p(e)}}}]); \ No newline at end of file diff --git a/assets/js/749371cc.05ec0947.js b/assets/js/749371cc.05ec0947.js deleted file mode 100644 index f02c0652..00000000 --- a/assets/js/749371cc.05ec0947.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkopenrag_docs=self.webpackChunkopenrag_docs||[]).push([[2272],{887:(e,n,s)=>{s.d(n,{Ay:()=>c,RM:()=>i});var r=s(4848),o=s(8453),l=s(1470),t=s(9365);const i=[{value:"Application onboarding",id:"application-onboarding",level:2}];function a(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",li:"li",ol:"ol",p:"p",strong:"strong",...(0,o.R)(),...e.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)(n.h2,{id:"application-onboarding",children:"Application onboarding"}),"\n",(0,r.jsxs)(n.p,{children:["The first time you start OpenRAG, whether using the TUI or a ",(0,r.jsx)(n.code,{children:".env"})," file, it's recommended that you complete application onboarding."]}),"\n",(0,r.jsxs)(n.p,{children:["To skip onboarding, click ",(0,r.jsx)(n.strong,{children:"Skip onboarding"}),"."]}),"\n",(0,r.jsxs)(n.admonition,{type:"warning",children:[(0,r.jsxs)(n.p,{children:["Most values from onboarding can be changed later in the OpenRAG ",(0,r.jsx)(n.strong,{children:"Settings"})," page, but there are important restrictions."]}),(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"language model provider"})," and ",(0,r.jsx)(n.strong,{children:"embeddings model provider"})," can only be selected at onboarding.\nTo change your provider selection later, you must ",(0,r.jsx)(n.a,{href:"/install#reinstall",children:"reinstall OpenRAG"}),"."]}),(0,r.jsx)(n.p,{children:"You must use the same provider for your language model and embedding model, unless you're using Ollama."})]}),"\n",(0,r.jsx)(n.p,{children:"Choose one LLM provider and complete only those steps:"}),"\n",(0,r.jsxs)(l.A,{groupId:"Provider",children:[(0,r.jsx)(t.A,{value:"OpenAI",label:"OpenAI",default:!0,children:(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Enable ",(0,r.jsx)(n.strong,{children:"Get API key from environment variable"})," to automatically enter your key from the TUI-generated ",(0,r.jsx)(n.code,{children:".env"})," file.\nAlternatively, paste an OpenAI API key into the field."]}),"\n",(0,r.jsxs)(n.li,{children:["Under ",(0,r.jsx)(n.strong,{children:"Advanced settings"}),", select your ",(0,r.jsx)(n.strong,{children:"Embedding Model"})," and ",(0,r.jsx)(n.strong,{children:"Language Model"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["To load 2 sample PDFs, enable ",(0,r.jsx)(n.strong,{children:"Sample dataset"}),".\nThis is recommended, but not required."]}),"\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(n.strong,{children:"Complete"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["To complete the onboarding tasks, click ",(0,r.jsx)(n.strong,{children:"What is OpenRAG"}),", and then click ",(0,r.jsx)(n.strong,{children:"Add a Document"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["Continue with the ",(0,r.jsx)(n.a,{href:"/quickstart",children:"Quickstart"}),"."]}),"\n"]})}),(0,r.jsx)(t.A,{value:"IBM watsonx.ai",label:"IBM watsonx.ai",children:(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Complete the fields for ",(0,r.jsx)(n.strong,{children:"watsonx.ai API Endpoint"}),", ",(0,r.jsx)(n.strong,{children:"IBM Project ID"}),", and ",(0,r.jsx)(n.strong,{children:"IBM API key"}),".\nThese values are found in your IBM watsonx deployment."]}),"\n",(0,r.jsxs)(n.li,{children:["Under ",(0,r.jsx)(n.strong,{children:"Advanced settings"}),", select your ",(0,r.jsx)(n.strong,{children:"Embedding Model"})," and ",(0,r.jsx)(n.strong,{children:"Language Model"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["To load 2 sample PDFs, enable ",(0,r.jsx)(n.strong,{children:"Sample dataset"}),".\nThis is recommended, but not required."]}),"\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(n.strong,{children:"Complete"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["To complete the onboarding tasks, click ",(0,r.jsx)(n.strong,{children:"What is OpenRAG"}),", and then click ",(0,r.jsx)(n.strong,{children:"Add a Document"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["Continue with the ",(0,r.jsx)(n.a,{href:"/quickstart",children:"Quickstart"}),"."]}),"\n"]})}),(0,r.jsxs)(t.A,{value:"Ollama",label:"Ollama",children:[(0,r.jsx)(n.admonition,{type:"tip",children:(0,r.jsxs)(n.p,{children:["Ollama is not included with OpenRAG. To install Ollama, see the ",(0,r.jsx)(n.a,{href:"https://docs.ollama.com/",children:"Ollama documentation"}),"."]})}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Enter your Ollama server's base URL address.\nThe default Ollama server address is ",(0,r.jsx)(n.code,{children:"http://localhost:11434"}),".\nOpenRAG automatically transforms ",(0,r.jsx)(n.code,{children:"localhost"})," to access services outside of the container, and sends a test connection to your Ollama server to confirm connectivity."]}),"\n",(0,r.jsxs)(n.li,{children:["Select the ",(0,r.jsx)(n.strong,{children:"Embedding Model"})," and ",(0,r.jsx)(n.strong,{children:"Language Model"})," your Ollama server is running.\nOpenRAG retrieves the available models from your Ollama server."]}),"\n",(0,r.jsxs)(n.li,{children:["To load 2 sample PDFs, enable ",(0,r.jsx)(n.strong,{children:"Sample dataset"}),".\nThis is recommended, but not required."]}),"\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(n.strong,{children:"Complete"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["To complete the onboarding tasks, click ",(0,r.jsx)(n.strong,{children:"What is OpenRAG"}),", and then click ",(0,r.jsx)(n.strong,{children:"Add a Document"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["Continue with the ",(0,r.jsx)(n.a,{href:"/quickstart",children:"Quickstart"}),"."]}),"\n"]})]})]})]})}function c(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(a,{...e})}):a(e)}},5788:(e,n,s)=>{s.r(n),s.d(n,{assets:()=>h,contentTitle:()=>d,default:()=>m,frontMatter:()=>c,metadata:()=>r,toc:()=>p});const r=JSON.parse('{"id":"get-started/docker","title":"Install OpenRAG containers","description":"OpenRAG has two Docker Compose files. Both files deploy the same applications and containers locally, but they are for different environments.","source":"@site/docs/get-started/docker.mdx","sourceDirName":"get-started","slug":"/get-started/docker","permalink":"/get-started/docker","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/get-started/docker.mdx","tags":[],"version":"current","frontMatter":{"title":"Install OpenRAG containers","slug":"/get-started/docker"},"sidebar":"tutorialSidebar","previous":{"title":"Install OpenRAG with TUI","permalink":"/install"},"next":{"title":"Quickstart","permalink":"/quickstart"}}');var o=s(4848),l=s(8453),t=s(1470),i=s(9365),a=s(887);const c={title:"Install OpenRAG containers",slug:"/get-started/docker"},d=void 0,h={},p=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Install OpenRAG with Docker Compose",id:"install-openrag-with-docker-compose",level:2},...a.RM,{value:"Container management commands",id:"container-management-commands",level:2},{value:"Upgrade containers",id:"upgrade-containers",level:3},{value:"Rebuild containers (destructive)",id:"rebuild-containers-destructive",level:3},{value:"Remove all containers and data (destructive)",id:"remove-all-containers-and-data-destructive",level:3}];function u(e){const n={a:"a",code:"code",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,l.R)(),...e.components};return(0,o.jsxs)(o.Fragment,{children:[(0,o.jsx)(n.p,{children:"OpenRAG has two Docker Compose files. Both files deploy the same applications and containers locally, but they are for different environments."}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/docker-compose.yml",children:(0,o.jsx)(n.code,{children:"docker-compose.yml"})})," is an OpenRAG deployment with GPU support for accelerated AI processing. This Docker Compose file requires an NVIDIA GPU with ",(0,o.jsx)(n.a,{href:"https://docs.nvidia.com/cuda/",children:"CUDA"})," support."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/docker-compose-cpu.yml",children:(0,o.jsx)(n.code,{children:"docker-compose-cpu.yml"})})," is a CPU-only version of OpenRAG for systems without NVIDIA GPU support. Use this Docker Compose file for environments where GPU drivers aren't available."]}),"\n"]}),"\n"]}),"\n",(0,o.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["Install ",(0,o.jsx)(n.a,{href:"https://www.python.org/downloads/release/python-3100/",children:"Python Version 3.10 to 3.13"})]}),"\n",(0,o.jsxs)(n.li,{children:["Install ",(0,o.jsx)(n.a,{href:"https://docs.astral.sh/uv/getting-started/installation/",children:"uv"})]}),"\n",(0,o.jsxs)(n.li,{children:["Install ",(0,o.jsx)(n.a,{href:"https://podman.io/docs/installation",children:"Podman"})," (recommended) or ",(0,o.jsx)(n.a,{href:"https://docs.docker.com/get-docker/",children:"Docker"})]}),"\n",(0,o.jsxs)(n.li,{children:["Install ",(0,o.jsx)(n.a,{href:"https://docs.docker.com/compose/install/",children:"Docker Compose"}),". If using Podman, use ",(0,o.jsx)(n.a,{href:"https://docs.podman.io/en/latest/markdown/podman-compose.1.html",children:"podman-compose"})," or alias Docker compose commands to Podman commands."]}),"\n",(0,o.jsxs)(n.li,{children:["Create an ",(0,o.jsx)(n.a,{href:"https://platform.openai.com/api-keys",children:"OpenAI API key"}),". This key is ",(0,o.jsx)(n.strong,{children:"required"})," to start OpenRAG, but you can choose a different model provider during ",(0,o.jsx)(n.a,{href:"#application-onboarding",children:"Application Onboarding"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:["Optional: Install GPU support with an NVIDIA GPU, ",(0,o.jsx)(n.a,{href:"https://docs.nvidia.com/cuda/",children:"CUDA"})," support, and compatible NVIDIA drivers on the OpenRAG host machine. If you don't have GPU capabilities, OpenRAG provides an alternate CPU-only deployment."]}),"\n"]}),"\n",(0,o.jsx)(n.h2,{id:"install-openrag-with-docker-compose",children:"Install OpenRAG with Docker Compose"}),"\n",(0,o.jsx)(n.p,{children:"To install OpenRAG with Docker Compose, do the following:"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Clone the OpenRAG repository."}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"git clone https://github.com/langflow-ai/openrag.git\ncd openrag\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Install dependencies."}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"uv sync\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Copy the example ",(0,o.jsx)(n.code,{children:".env"})," file included in the repository root.\nThe example file includes all environment variables with comments to guide you in finding and setting their values."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"cp .env.example .env\n"})}),"\n",(0,o.jsxs)(n.p,{children:["Alternatively, create a new ",(0,o.jsx)(n.code,{children:".env"})," file in the repository root."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{children:"touch .env\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["The Docker Compose files are populated with the values from your ",(0,o.jsx)(n.code,{children:".env"})," file. The following values must be set:"]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"OPENSEARCH_PASSWORD=your_secure_password\nOPENAI_API_KEY=your_openai_api_key\nLANGFLOW_SECRET_KEY=your_secret_key\n"})}),"\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.code,{children:"OPENSEARCH_PASSWORD"})," can be automatically generated when using the TUI, but for a Docker Compose installation, you can set it manually instead. To generate an OpenSearch admin password, see the ",(0,o.jsx)(n.a,{href:"https://docs.opensearch.org/latest/security/configuration/demo-configuration/#setting-up-a-custom-admin-password",children:"OpenSearch documentation"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["The ",(0,o.jsx)(n.code,{children:"OPENAI_API_KEY"})," is found in your OpenAI account."]}),"\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.code,{children:"LANGFLOW_SECRET_KEY"})," is automatically generated when using the TUI, and Langflow will also auto-generate it if not set. 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If set, Langflow requires password authentication."]}),"\n",(0,o.jsxs)(n.p,{children:["For more information on configuring OpenRAG with environment variables, see ",(0,o.jsx)(n.a,{href:"/reference/configuration",children:"Environment variables"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Start ",(0,o.jsx)(n.code,{children:"docling serve"})," on the host machine.\nOpenRAG Docker installations require that ",(0,o.jsx)(n.code,{children:"docling serve"})," is running on port 5001 on the host machine.\nThis enables ",(0,o.jsx)(n.a,{href:"https://opensource.apple.com/projects/mlx/",children:"Mac MLX"})," support for document processing."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"uv run python scripts/docling_ctl.py start --port 5001\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Confirm ",(0,o.jsx)(n.code,{children:"docling serve"})," is running."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{children:"uv run python scripts/docling_ctl.py status\n"})}),"\n",(0,o.jsxs)(n.p,{children:["Make sure the response shows that ",(0,o.jsx)(n.code,{children:"docling serve"})," is running, for example:"]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"Status: running\nEndpoint: http://127.0.0.1:5001\nDocs: http://127.0.0.1:5001/docs\nPID: 27746\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Deploy OpenRAG locally with Docker Compose based on your deployment type."}),"\n",(0,o.jsxs)(t.A,{groupId:"Compose file",children:[(0,o.jsx)(i.A,{value:"docker-compose.yml",label:"docker-compose.yml",default:!0,children:(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"docker compose build\ndocker compose up 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installation by confirming all services are running."}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"docker compose ps\n"})}),"\n",(0,o.jsx)(n.p,{children:"You can now access OpenRAG at the following endpoints:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Frontend"}),": ",(0,o.jsx)(n.a,{href:"http://localhost:3000",children:"http://localhost:3000"})]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Backend API"}),": ",(0,o.jsx)(n.a,{href:"http://localhost:8000",children:"http://localhost:8000"})]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Langflow"}),": ",(0,o.jsx)(n.a,{href:"http://localhost:7860",children:"http://localhost:7860"})]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Continue with ",(0,o.jsx)(n.a,{href:"#application-onboarding",children:"Application Onboarding"}),"."]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["To stop ",(0,o.jsx)(n.code,{children:"docling serve"})," when you're done with your OpenRAG deployment, run:"]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"uv run python scripts/docling_ctl.py stop\n"})}),"\n",(0,o.jsx)(a.Ay,{}),"\n",(0,o.jsx)(n.h2,{id:"container-management-commands",children:"Container management commands"}),"\n",(0,o.jsxs)(n.p,{children:["Manage your OpenRAG containers with the following commands.\nThese commands are also available in the TUI's ",(0,o.jsx)(n.a,{href:"/install#status",children:"Status menu"}),"."]}),"\n",(0,o.jsx)(n.h3,{id:"upgrade-containers",children:"Upgrade containers"}),"\n",(0,o.jsx)(n.p,{children:"Upgrade your containers to the latest version while preserving your data."}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"docker compose pull\ndocker compose up -d --force-recreate\n"})}),"\n",(0,o.jsx)(n.h3,{id:"rebuild-containers-destructive",children:"Rebuild containers (destructive)"}),"\n",(0,o.jsxs)(n.p,{children:["Reset state by rebuilding all of your containers.\nYour OpenSearch and Langflow databases will be lost.\nDocuments stored in the ",(0,o.jsx)(n.code,{children:"./documents"})," directory will persist, since the directory is mounted as a volume in the OpenRAG backend container."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"docker compose up --build --force-recreate --remove-orphans\n"})}),"\n",(0,o.jsx)(n.h3,{id:"remove-all-containers-and-data-destructive",children:"Remove all containers and data (destructive)"}),"\n",(0,o.jsx)(n.p,{children:"Completely remove your OpenRAG installation and delete all data.\nThis deletes all of your data, including OpenSearch data, uploaded documents, and authentication."}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"docker compose down --volumes --remove-orphans --rmi local\ndocker system prune -f\n"})})]})}function m(e={}){const{wrapper:n}={...(0,l.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(u,{...e})}):u(e)}}}]); \ No newline at end of file diff --git a/assets/js/749371cc.7882ebc3.js b/assets/js/749371cc.7882ebc3.js new file mode 100644 index 00000000..2a5532a8 --- /dev/null +++ b/assets/js/749371cc.7882ebc3.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkopenrag_docs=self.webpackChunkopenrag_docs||[]).push([[2272],{887:(e,n,s)=>{s.d(n,{Ay:()=>d,RM:()=>a});var r=s(4848),o=s(8453),i=s(1610),l=s(1470),t=s(9365);const a=[{value:"Application onboarding",id:"application-onboarding",level:2}];function c(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",li:"li",ol:"ol",p:"p",strong:"strong",...(0,o.R)(),...e.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)(n.h2,{id:"application-onboarding",children:"Application onboarding"}),"\n",(0,r.jsxs)(n.p,{children:["The first time you start OpenRAG, whether using the TUI or a ",(0,r.jsx)(n.code,{children:".env"})," file, you must complete application onboarding."]}),"\n",(0,r.jsxs)(n.admonition,{type:"warning",children:[(0,r.jsxs)(n.p,{children:["Most values from onboarding can be changed later in the OpenRAG ",(0,r.jsx)(n.strong,{children:"Settings"})," page, but there are important restrictions."]}),(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"language model provider"})," and ",(0,r.jsx)(n.strong,{children:"embeddings model provider"})," can only be selected at onboarding.\nTo change your provider selection later, you must ",(0,r.jsx)(n.a,{href:"/install#reinstall",children:"reinstall OpenRAG"}),"."]}),(0,r.jsx)(n.p,{children:"You must use the same provider for your language model and embedding model, unless you're using Ollama."})]}),"\n",(0,r.jsx)(n.p,{children:"Choose one LLM provider and complete only those steps:"}),"\n",(0,r.jsxs)(l.A,{groupId:"Provider",children:[(0,r.jsx)(t.A,{value:"OpenAI",label:"OpenAI",default:!0,children:(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Enable ",(0,r.jsx)(n.strong,{children:"Get API key from environment variable"})," to automatically enter your key from the TUI-generated ",(0,r.jsx)(n.code,{children:".env"})," file.\nAlternatively, paste an OpenAI API key into the field."]}),"\n",(0,r.jsxs)(n.li,{children:["Under ",(0,r.jsx)(n.strong,{children:"Advanced settings"}),", select your ",(0,r.jsx)(n.strong,{children:"Embedding Model"})," and ",(0,r.jsx)(n.strong,{children:"Language Model"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["To load 2 sample PDFs, enable ",(0,r.jsx)(n.strong,{children:"Sample dataset"}),".\nThis is recommended, but not required."]}),"\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(n.strong,{children:"Complete"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["To complete the onboarding tasks, click ",(0,r.jsx)(n.strong,{children:"What is OpenRAG"}),", and then click ",(0,r.jsx)(n.strong,{children:"Add a Document"}),".\nAlternatively, click ",(0,r.jsx)(i.A,{name:"ArrowRight","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Skip overview"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["Continue with the ",(0,r.jsx)(n.a,{href:"/quickstart",children:"Quickstart"}),"."]}),"\n"]})}),(0,r.jsx)(t.A,{value:"IBM watsonx.ai",label:"IBM watsonx.ai",children:(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Complete the fields for ",(0,r.jsx)(n.strong,{children:"watsonx.ai API Endpoint"}),", ",(0,r.jsx)(n.strong,{children:"IBM Project ID"}),", and ",(0,r.jsx)(n.strong,{children:"IBM API key"}),".\nThese values are found in your IBM watsonx deployment."]}),"\n",(0,r.jsxs)(n.li,{children:["Under ",(0,r.jsx)(n.strong,{children:"Advanced settings"}),", select your ",(0,r.jsx)(n.strong,{children:"Embedding Model"})," and ",(0,r.jsx)(n.strong,{children:"Language Model"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["To load 2 sample PDFs, enable ",(0,r.jsx)(n.strong,{children:"Sample dataset"}),".\nThis is recommended, but not required."]}),"\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(n.strong,{children:"Complete"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["To complete the onboarding tasks, click ",(0,r.jsx)(n.strong,{children:"What is OpenRAG"}),", and then click ",(0,r.jsx)(n.strong,{children:"Add a Document"}),".\nAlternatively, click ",(0,r.jsx)(i.A,{name:"ArrowRight","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Skip overview"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["Continue with the ",(0,r.jsx)(n.a,{href:"/quickstart",children:"Quickstart"}),"."]}),"\n"]})}),(0,r.jsxs)(t.A,{value:"Ollama",label:"Ollama",children:[(0,r.jsx)(n.admonition,{type:"tip",children:(0,r.jsxs)(n.p,{children:["Ollama is not included with OpenRAG. To install Ollama, see the ",(0,r.jsx)(n.a,{href:"https://docs.ollama.com/",children:"Ollama documentation"}),"."]})}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Enter your Ollama server's base URL address.\nThe default Ollama server address is ",(0,r.jsx)(n.code,{children:"http://localhost:11434"}),".\nOpenRAG automatically transforms ",(0,r.jsx)(n.code,{children:"localhost"})," to access services outside of the container, and sends a test connection to your Ollama server to confirm connectivity."]}),"\n",(0,r.jsxs)(n.li,{children:["Select the ",(0,r.jsx)(n.strong,{children:"Embedding Model"})," and ",(0,r.jsx)(n.strong,{children:"Language Model"})," your Ollama server is running.\nOpenRAG retrieves the available models from your Ollama server."]}),"\n",(0,r.jsxs)(n.li,{children:["To load 2 sample PDFs, enable ",(0,r.jsx)(n.strong,{children:"Sample dataset"}),".\nThis is recommended, but not required."]}),"\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(n.strong,{children:"Complete"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["To complete the onboarding tasks, click ",(0,r.jsx)(n.strong,{children:"What is OpenRAG"}),", and then click ",(0,r.jsx)(n.strong,{children:"Add a Document"}),".\nAlternatively, click ",(0,r.jsx)(i.A,{name:"ArrowRight","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Skip overview"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["Continue with the ",(0,r.jsx)(n.a,{href:"/quickstart",children:"Quickstart"}),"."]}),"\n"]})]})]})]})}function d(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(c,{...e})}):c(e)}},5788:(e,n,s)=>{s.r(n),s.d(n,{assets:()=>h,contentTitle:()=>d,default:()=>m,frontMatter:()=>c,metadata:()=>r,toc:()=>p});const r=JSON.parse('{"id":"get-started/docker","title":"Install OpenRAG containers","description":"OpenRAG has two Docker Compose files. Both files deploy the same applications and containers locally, but they are for different environments.","source":"@site/docs/get-started/docker.mdx","sourceDirName":"get-started","slug":"/docker","permalink":"/docker","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/get-started/docker.mdx","tags":[],"version":"current","frontMatter":{"title":"Install OpenRAG containers","slug":"/docker"},"sidebar":"tutorialSidebar","previous":{"title":"Install OpenRAG with TUI","permalink":"/install"},"next":{"title":"Langflow in OpenRAG","permalink":"/agents"}}');var o=s(4848),i=s(8453),l=s(1470),t=s(9365),a=s(887);const c={title:"Install OpenRAG containers",slug:"/docker"},d=void 0,h={},p=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Install OpenRAG with Docker Compose",id:"install-openrag-with-docker-compose",level:2},...a.RM,{value:"Container management commands",id:"container-management-commands",level:2},{value:"Upgrade containers",id:"upgrade-containers",level:3},{value:"Rebuild containers (destructive)",id:"rebuild-containers-destructive",level:3},{value:"Remove all containers and data (destructive)",id:"remove-all-containers-and-data-destructive",level:3}];function u(e){const n={a:"a",code:"code",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,i.R)(),...e.components};return(0,o.jsxs)(o.Fragment,{children:[(0,o.jsx)(n.p,{children:"OpenRAG has two Docker Compose files. Both files deploy the same applications and containers locally, but they are for different environments."}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/docker-compose.yml",children:(0,o.jsx)(n.code,{children:"docker-compose.yml"})})," is an OpenRAG deployment with GPU support for accelerated AI processing. This Docker Compose file requires an NVIDIA GPU with ",(0,o.jsx)(n.a,{href:"https://docs.nvidia.com/cuda/",children:"CUDA"})," support."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/docker-compose-cpu.yml",children:(0,o.jsx)(n.code,{children:"docker-compose-cpu.yml"})})," is a CPU-only version of OpenRAG for systems without NVIDIA GPU support. Use this Docker Compose file for environments where GPU drivers aren't available."]}),"\n"]}),"\n"]}),"\n",(0,o.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["Install ",(0,o.jsx)(n.a,{href:"https://www.python.org/downloads/release/python-3100/",children:"Python Version 3.10 to 3.13"})]}),"\n",(0,o.jsxs)(n.li,{children:["Install ",(0,o.jsx)(n.a,{href:"https://docs.astral.sh/uv/getting-started/installation/",children:"uv"})]}),"\n",(0,o.jsxs)(n.li,{children:["Install ",(0,o.jsx)(n.a,{href:"https://podman.io/docs/installation",children:"Podman"})," (recommended) or ",(0,o.jsx)(n.a,{href:"https://docs.docker.com/get-docker/",children:"Docker"})]}),"\n",(0,o.jsxs)(n.li,{children:["Install ",(0,o.jsx)(n.a,{href:"https://docs.docker.com/compose/install/",children:"Docker Compose"}),". If using Podman, use ",(0,o.jsx)(n.a,{href:"https://docs.podman.io/en/latest/markdown/podman-compose.1.html",children:"podman-compose"})," or alias Docker compose commands to Podman commands."]}),"\n",(0,o.jsxs)(n.li,{children:["Optional: Create an ",(0,o.jsx)(n.a,{href:"https://platform.openai.com/api-keys",children:"OpenAI API key"}),". You can provide this key during ",(0,o.jsx)(n.a,{href:"#application-onboarding",children:"Application Onboarding"})," or choose a different model provider."]}),"\n",(0,o.jsxs)(n.li,{children:["Optional: Install GPU support with an NVIDIA GPU, ",(0,o.jsx)(n.a,{href:"https://docs.nvidia.com/cuda/",children:"CUDA"})," support, and compatible NVIDIA drivers on the OpenRAG host machine. If you don't have GPU capabilities, OpenRAG provides an alternate CPU-only deployment."]}),"\n"]}),"\n",(0,o.jsx)(n.h2,{id:"install-openrag-with-docker-compose",children:"Install OpenRAG with Docker Compose"}),"\n",(0,o.jsx)(n.p,{children:"To install OpenRAG with Docker Compose, do the following:"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Clone the OpenRAG repository."}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"git clone https://github.com/langflow-ai/openrag.git\ncd openrag\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Install dependencies."}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"uv sync\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Copy the example ",(0,o.jsx)(n.code,{children:".env"})," file included in the repository root.\nThe example file includes all environment variables with comments to guide you in finding and setting their values."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"cp .env.example .env\n"})}),"\n",(0,o.jsxs)(n.p,{children:["Alternatively, create a new ",(0,o.jsx)(n.code,{children:".env"})," file in the repository root."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{children:"touch .env\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["The Docker Compose files are populated with the values from your ",(0,o.jsx)(n.code,{children:".env"})," file.\nThe ",(0,o.jsx)(n.code,{children:"OPENSEARCH_PASSWORD"})," value must be set.\n",(0,o.jsx)(n.code,{children:"OPENSEARCH_PASSWORD"})," can be automatically generated when using the TUI, but for a Docker Compose installation, you can set it manually instead. To generate an OpenSearch admin password, see the ",(0,o.jsx)(n.a,{href:"https://docs.opensearch.org/latest/security/configuration/demo-configuration/#setting-up-a-custom-admin-password",children:"OpenSearch documentation"}),"."]}),"\n",(0,o.jsx)(n.p,{children:"The following values are optional:"}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"OPENAI_API_KEY=your_openai_api_key\nLANGFLOW_SECRET_KEY=your_secret_key\n"})}),"\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.code,{children:"OPENAI_API_KEY"})," is optional. You can provide it during ",(0,o.jsx)(n.a,{href:"#application-onboarding",children:"Application Onboarding"})," or choose a different model provider. If you want to set it in your ",(0,o.jsx)(n.code,{children:".env"})," file, you can find your OpenAI API key in your ",(0,o.jsx)(n.a,{href:"https://platform.openai.com/api-keys",children:"OpenAI account"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.code,{children:"LANGFLOW_SECRET_KEY"})," is optional. Langflow will auto-generate it if not set. For more information, see the ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#langflow-secret-key",children:"Langflow documentation"}),"."]}),"\n",(0,o.jsx)(n.p,{children:"The following Langflow configuration values are optional but important to consider:"}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"LANGFLOW_SUPERUSER=admin\nLANGFLOW_SUPERUSER_PASSWORD=your_langflow_password\n"})}),"\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.code,{children:"LANGFLOW_SUPERUSER"})," defaults to ",(0,o.jsx)(n.code,{children:"admin"}),". You can omit it or set it to a different username. ",(0,o.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," is optional. If omitted, Langflow runs in ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#langflow-auto-login",children:"autologin mode"})," with no password required. If set, Langflow requires password authentication."]}),"\n",(0,o.jsxs)(n.p,{children:["For more information on configuring OpenRAG with environment variables, see ",(0,o.jsx)(n.a,{href:"/reference/configuration",children:"Environment variables"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Start ",(0,o.jsx)(n.code,{children:"docling serve"})," on the host machine.\nOpenRAG Docker installations require that ",(0,o.jsx)(n.code,{children:"docling serve"})," is running on port 5001 on the host machine.\nThis enables ",(0,o.jsx)(n.a,{href:"https://opensource.apple.com/projects/mlx/",children:"Mac MLX"})," support for document processing."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"uv run python scripts/docling_ctl.py start --port 5001\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Confirm ",(0,o.jsx)(n.code,{children:"docling serve"})," is running."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{children:"uv run python scripts/docling_ctl.py status\n"})}),"\n",(0,o.jsxs)(n.p,{children:["Make sure the response shows that ",(0,o.jsx)(n.code,{children:"docling serve"})," is running, for example:"]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"Status: running\nEndpoint: http://127.0.0.1:5001\nDocs: http://127.0.0.1:5001/docs\nPID: 27746\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Deploy OpenRAG locally with Docker Compose based on your deployment type."}),"\n",(0,o.jsxs)(l.A,{groupId:"Compose file",children:[(0,o.jsx)(t.A,{value:"docker-compose.yml",label:"docker-compose.yml",default:!0,children:(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"docker compose build\ndocker compose up -d\n"})})}),(0,o.jsx)(t.A,{value:"docker-compose-cpu.yml",label:"docker-compose-cpu.yml",children:(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"docker compose -f docker-compose-cpu.yml up -d\n"})})})]}),"\n",(0,o.jsx)(n.p,{children:"The OpenRAG Docker Compose file starts five containers:"}),"\n",(0,o.jsxs)(n.table,{children:[(0,o.jsx)(n.thead,{children:(0,o.jsxs)(n.tr,{children:[(0,o.jsx)(n.th,{children:"Container Name"}),(0,o.jsx)(n.th,{children:"Default Address"}),(0,o.jsx)(n.th,{children:"Purpose"})]})}),(0,o.jsxs)(n.tbody,{children:[(0,o.jsxs)(n.tr,{children:[(0,o.jsx)(n.td,{children:"OpenRAG Backend"}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.a,{href:"http://localhost:8000",children:"http://localhost:8000"})}),(0,o.jsx)(n.td,{children:"FastAPI server and core functionality."})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsx)(n.td,{children:"OpenRAG Frontend"}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.a,{href:"http://localhost:3000",children:"http://localhost:3000"})}),(0,o.jsx)(n.td,{children:"React web interface for users."})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsx)(n.td,{children:"Langflow"}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.a,{href:"http://localhost:7860",children:"http://localhost:7860"})}),(0,o.jsx)(n.td,{children:"AI workflow engine and flow management."})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsx)(n.td,{children:"OpenSearch"}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.a,{href:"http://localhost:9200",children:"http://localhost:9200"})}),(0,o.jsx)(n.td,{children:"Vector database for document storage."})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsx)(n.td,{children:"OpenSearch Dashboards"}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.a,{href:"http://localhost:5601",children:"http://localhost:5601"})}),(0,o.jsx)(n.td,{children:"Database administration interface."})]})]})]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Verify installation by confirming all services are running."}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"docker compose ps\n"})}),"\n",(0,o.jsx)(n.p,{children:"You can now access OpenRAG at the following endpoints:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Frontend"}),": ",(0,o.jsx)(n.a,{href:"http://localhost:3000",children:"http://localhost:3000"})]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Backend API"}),": ",(0,o.jsx)(n.a,{href:"http://localhost:8000",children:"http://localhost:8000"})]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Langflow"}),": ",(0,o.jsx)(n.a,{href:"http://localhost:7860",children:"http://localhost:7860"})]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Continue with ",(0,o.jsx)(n.a,{href:"#application-onboarding",children:"Application Onboarding"}),"."]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["To stop ",(0,o.jsx)(n.code,{children:"docling serve"})," when you're done with your OpenRAG deployment, run:"]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"uv run python scripts/docling_ctl.py stop\n"})}),"\n",(0,o.jsx)(a.Ay,{}),"\n",(0,o.jsx)(n.h2,{id:"container-management-commands",children:"Container management commands"}),"\n",(0,o.jsxs)(n.p,{children:["Manage your OpenRAG containers with the following commands.\nThese commands are also available in the TUI's ",(0,o.jsx)(n.a,{href:"/install#status",children:"Status menu"}),"."]}),"\n",(0,o.jsx)(n.h3,{id:"upgrade-containers",children:"Upgrade containers"}),"\n",(0,o.jsx)(n.p,{children:"Upgrade your containers to the latest version while preserving your data."}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"docker compose pull\ndocker compose up -d --force-recreate\n"})}),"\n",(0,o.jsx)(n.h3,{id:"rebuild-containers-destructive",children:"Rebuild containers (destructive)"}),"\n",(0,o.jsxs)(n.p,{children:["Reset state by rebuilding all of your containers.\nYour OpenSearch and Langflow databases will be lost.\nDocuments stored in the ",(0,o.jsx)(n.code,{children:"./documents"})," directory will persist, since the directory is mounted as a volume in the OpenRAG backend container."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"docker compose up --build --force-recreate --remove-orphans\n"})}),"\n",(0,o.jsx)(n.h3,{id:"remove-all-containers-and-data-destructive",children:"Remove all containers and data (destructive)"}),"\n",(0,o.jsx)(n.p,{children:"Completely remove your OpenRAG installation and delete all data.\nThis deletes all of your data, including OpenSearch data, uploaded documents, and authentication."}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-bash",children:"docker compose down --volumes --remove-orphans --rmi local\ndocker system prune -f\n"})})]})}function m(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(u,{...e})}):u(e)}}}]); \ No newline at end of file diff --git a/assets/js/af920ffe.059a83cf.js b/assets/js/af920ffe.059a83cf.js deleted file mode 100644 index 14038f05..00000000 --- a/assets/js/af920ffe.059a83cf.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkopenrag_docs=self.webpackChunkopenrag_docs||[]).push([[98],{1260:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>h,contentTitle:()=>c,default:()=>g,frontMatter:()=>d,metadata:()=>s,toc:()=>p});const s=JSON.parse('{"id":"get-started/quickstart","title":"Quickstart","description":"Get started with OpenRAG by loading your knowledge, swapping out your language model, and then chatting with the Langflow API.","source":"@site/docs/get-started/quickstart.mdx","sourceDirName":"get-started","slug":"/quickstart","permalink":"/quickstart","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/get-started/quickstart.mdx","tags":[],"version":"current","frontMatter":{"title":"Quickstart","slug":"/quickstart"},"sidebar":"tutorialSidebar","previous":{"title":"Install OpenRAG containers","permalink":"/get-started/docker"},"next":{"title":"Langflow in OpenRAG","permalink":"/agents"}}');var r=t(4848),i=t(8453),o=t(1610),a=t(1470),l=t(9365);const d={title:"Quickstart",slug:"/quickstart"},c=void 0,h={},p=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Load and chat with your own documents",id:"load-and-chat-with-your-own-documents",level:2},{value:"Swap out the language model to modify agent behavior",id:"change-components",level:2},{value:"Integrate OpenRAG into your application",id:"integrate-openrag-into-your-application",level:2}];function u(e){const n={a:"a",code:"code",h2:"h2",img:"img",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,i.R)(),...e.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)(n.p,{children:"Get started with OpenRAG by loading your knowledge, swapping out your language model, and then chatting with the Langflow API."}),"\n",(0,r.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Install and start OpenRAG with the ",(0,r.jsx)(n.a,{href:"/install",children:"TUI"})," or ",(0,r.jsx)(n.a,{href:"/get-started/docker",children:"Docker"})]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"load-and-chat-with-your-own-documents",children:"Load and chat with your own documents"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["In OpenRAG, click ",(0,r.jsx)(o.A,{name:"MessageSquare","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Chat"}),".\nThe chat is powered by the OpenRAG OpenSearch Agent.\nFor more information, see ",(0,r.jsx)(n.a,{href:"/agents",children:"Langflow in OpenRAG"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["Ask ",(0,r.jsx)(n.code,{children:"What documents are available to you?"}),"\nThe agent responds with a message summarizing the documents that OpenRAG loads by default.\nKnowledge is stored in OpenSearch.\nFor more information, see ",(0,r.jsx)(n.a,{href:"/knowledge",children:"OpenSearch in OpenRAG"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["To confirm the agent is correct about the default knowledge, click ",(0,r.jsx)(o.A,{name:"Library","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Knowledge"}),".\nThe ",(0,r.jsx)(n.strong,{children:"Knowledge"})," page lists the documents OpenRAG has ingested into the OpenSearch vector database.\nClick on a document to display the chunks derived from splitting the default documents into the OpenSearch vector database."]}),"\n",(0,r.jsxs)(n.li,{children:["To add documents to your knowledge base, click ",(0,r.jsx)(n.strong,{children:"Add Knowledge"}),".","\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Select ",(0,r.jsx)(o.A,{name:"File","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"File"})," to add a single file from your local machine."]}),"\n",(0,r.jsxs)(n.li,{children:["Select ",(0,r.jsx)(o.A,{name:"Folder","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Folder"})," to process an entire folder of documents from your local machine. The default directory is ",(0,r.jsx)(n.code,{children:"/documents"})," in your OpenRAG directory."]}),"\n",(0,r.jsxs)(n.li,{children:["Select your cloud storage provider to add knowledge from an OAuth-connected storage provider. For more information, see ",(0,r.jsx)(n.a,{href:"/knowledge#oauth-ingestion",children:"OAuth ingestion"}),"."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["Return to the Chat window and ask a question about your loaded data.\nFor example, with a manual about a PC tablet loaded, ask ",(0,r.jsx)(n.code,{children:"How do I connect this device to WiFi?"}),"\nThe agent responds with a message indicating it now has your knowledge as context for answering questions."]}),"\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(o.A,{name:"Gear","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Function Call: search_documents (tool_call)"}),".\nThis log describes how the agent uses tools.\nThis is helpful for troubleshooting when the agent isn't responding as expected."]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"change-components",children:"Swap out the language model to modify agent behavior"}),"\n",(0,r.jsxs)(n.p,{children:["To modify the knowledge ingestion or Agent behavior, click ",(0,r.jsx)(o.A,{name:"Settings2","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Settings"}),"."]}),"\n",(0,r.jsx)(n.p,{children:"In this example, you'll try a different LLM to demonstrate how the Agent's response changes."}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To edit the Agent's behavior, click ",(0,r.jsx)(n.strong,{children:"Edit in Langflow"}),".\nYou can more quickly access the ",(0,r.jsx)(n.strong,{children:"Language Model"})," and ",(0,r.jsx)(n.strong,{children:"Agent Instructions"})," fields in this page, but for illustration purposes, navigate to the Langflow visual builder.\nTo revert the flow to its initial state, click ",(0,r.jsx)(n.strong,{children:"Restore flow"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["OpenRAG warns you that you're entering Langflow. Click ",(0,r.jsx)(n.strong,{children:"Proceed"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["If Langflow requests login information, enter the ",(0,r.jsx)(n.code,{children:"LANGFLOW_SUPERUSER"})," and ",(0,r.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," from the ",(0,r.jsx)(n.code,{children:".env"})," file in your OpenRAG directory."]}),"\n",(0,r.jsxs)(n.p,{children:["The OpenRAG OpenSearch Agent flow appears in a new browser window.\n",(0,r.jsx)(n.img,{alt:"OpenRAG Open Search Agent Flow",src:t(3982).A+"",width:"4084",height:"2176"})]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Find the ",(0,r.jsx)(n.strong,{children:"Language Model"})," component, and then change the ",(0,r.jsx)(n.strong,{children:"Model Name"})," field to a different OpenAI model."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Save your flow with ",(0,r.jsx)("kbd",{children:"Command+S"})," (Mac) or ",(0,r.jsx)("kbd",{children:"Ctrl+S"})," (Windows)."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Return to the OpenRAG browser window, and start a new conversation by clicking ",(0,r.jsx)(o.A,{name:"Plus","aria-hidden":"true"})," in the ",(0,r.jsx)(n.strong,{children:"Conversations"})," tab."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Ask the same question you asked before to see how the response differs between models."}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"integrate-openrag-into-your-application",children:"Integrate OpenRAG into your application"}),"\n",(0,r.jsxs)(n.p,{children:["Langflow in OpenRAG includes pre-built flows that you can integrate into your applications using the ",(0,r.jsx)(n.a,{href:"https://docs.langflow.org/api-reference-api-examples",children:"Langflow API"}),"."]}),"\n",(0,r.jsx)(n.p,{children:"The Langflow API accepts Python, TypeScript, or curl requests to run flows and get responses. You can use these flows as-is or modify them to better suit your needs."}),"\n",(0,r.jsx)(n.p,{children:"In this section, you'll run the OpenRAG OpenSearch Agent flow and get a response using the API."}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To navigate to the OpenRAG OpenSearch Agent flow in Langflow, click ",(0,r.jsx)(o.A,{name:"Settings2","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Settings"}),", and then click ",(0,r.jsx)(n.strong,{children:"Edit in Langflow"})," in the OpenRAG OpenSearch Agent flow."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Create a ",(0,r.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication",children:"Langflow API key"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["A Langflow API key is a user-specific token you can use with Langflow.\nIt is ",(0,r.jsx)(n.strong,{children:"only"})," used for sending requests to the Langflow server.\nIt does ",(0,r.jsx)(n.strong,{children:"not"})," access OpenRAG."]}),"\n",(0,r.jsx)(n.p,{children:"To create a Langflow API key, do the following:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Open Langflow, click your user icon, and then select ",(0,r.jsx)(n.strong,{children:"Settings"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(n.strong,{children:"Langflow API Keys"}),", and then click ",(0,r.jsx)(o.A,{name:"Plus","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Add New"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["Name your key, and then click ",(0,r.jsx)(n.strong,{children:"Create API Key"}),"."]}),"\n",(0,r.jsx)(n.li,{children:"Copy the API key and store it securely."}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Langflow includes code snippets for the request to the Langflow API.\nTo retrieve the code snippet, click ",(0,r.jsx)(n.strong,{children:"Share"}),", and then click ",(0,r.jsx)(n.strong,{children:"API access"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["The default code in the API access pane constructs a request with the Langflow server ",(0,r.jsx)(n.code,{children:"url"}),", ",(0,r.jsx)(n.code,{children:"headers"}),", and a ",(0,r.jsx)(n.code,{children:"payload"})," of request data. The code snippets automatically include the ",(0,r.jsx)(n.code,{children:"LANGFLOW_SERVER_ADDRESS"})," and ",(0,r.jsx)(n.code,{children:"FLOW_ID"})," values for the flow."]}),"\n",(0,r.jsxs)(a.A,{children:[(0,r.jsx)(l.A,{value:"python",label:"Python",children:(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-python",children:'import requests\nimport os\nimport uuid\n\napi_key = \'LANGFLOW_API_KEY\'\nurl = "http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID" # The complete API endpoint URL for this flow\n\n# Request payload configuration\npayload = {\n "output_type": "chat",\n "input_type": "chat",\n "input_value": "hello world!"\n}\npayload["session_id"] = str(uuid.uuid4())\n\nheaders = {"x-api-key": api_key}\n\ntry:\n # Send API request\n response = requests.request("POST", url, json=payload, headers=headers)\n response.raise_for_status() # Raise exception for bad status codes\n\n # Print response\n print(response.text)\n\nexcept requests.exceptions.RequestException as e:\n print(f"Error making API request: {e}")\nexcept ValueError as e:\n print(f"Error parsing response: {e}")\n'})})}),(0,r.jsx)(l.A,{value:"typescript",label:"TypeScript",children:(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-typescript",children:'const crypto = require(\'crypto\');\nconst apiKey = \'LANGFLOW_API_KEY\';\nconst payload = {\n "output_type": "chat",\n "input_type": "chat",\n "input_value": "hello world!"\n};\npayload.session_id = crypto.randomUUID();\n\nconst options = {\n method: \'POST\',\n headers: {\n \'Content-Type\': \'application/json\',\n "x-api-key": apiKey\n },\n body: JSON.stringify(payload)\n};\n\nfetch(\'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID\', options)\n .then(response => response.json())\n .then(response => console.warn(response))\n .catch(err => console.error(err));\n'})})}),(0,r.jsx)(l.A,{value:"curl",label:"curl",children:(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:'curl --request POST \\\n --url \'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID?stream=false\' \\\n --header \'Content-Type: application/json\' \\\n --header "x-api-key: LANGFLOW_API_KEY" \\\n --data \'{\n "output_type": "chat",\n "input_type": "chat",\n "input_value": "hello world!"\n }\'\n'})})})]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Copy the snippet, paste it in a script file, and then run the script to send the request. If you are using the curl snippet, you can run the command directly in your terminal."}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"If the request is successful, the response includes many details about the flow run, including the session ID, inputs, outputs, components, durations, and more."}),"\n",(0,r.jsx)(n.p,{children:"To further explore the API, see:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["The Langflow ",(0,r.jsx)(n.a,{href:"https://docs.langflow.org/quickstart#extract-data-from-the-response",children:"Quickstart"})," extends this example with extracting fields from the response."]}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"https://docs.langflow.org/api-reference-api-examples",children:"Get started with the Langflow API"})}),"\n"]})]})}function g(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(u,{...e})}):u(e)}},3982:(e,n,t)=>{t.d(n,{A:()=>s});const s=t.p+"assets/images/opensearch-agent-flow-f3b279e02425cd043002eb7749067108.png"}}]); \ No newline at end of file diff --git a/assets/js/af920ffe.515d6bfd.js b/assets/js/af920ffe.515d6bfd.js new file mode 100644 index 00000000..3fcf1f7a --- /dev/null +++ b/assets/js/af920ffe.515d6bfd.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkopenrag_docs=self.webpackChunkopenrag_docs||[]).push([[98],{1260:(e,n,s)=>{s.r(n),s.d(n,{assets:()=>h,contentTitle:()=>d,default:()=>g,frontMatter:()=>c,metadata:()=>t,toc:()=>p});const t=JSON.parse('{"id":"get-started/quickstart","title":"Quickstart","description":"Get started with OpenRAG by loading your knowledge, swapping out your language model, and then chatting with the Langflow API.","source":"@site/docs/get-started/quickstart.mdx","sourceDirName":"get-started","slug":"/quickstart","permalink":"/quickstart","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/get-started/quickstart.mdx","tags":[],"version":"current","frontMatter":{"title":"Quickstart","slug":"/quickstart"},"sidebar":"tutorialSidebar","previous":{"title":"About OpenRAG","permalink":"/"},"next":{"title":"Install OpenRAG with TUI","permalink":"/install"}}');var r=s(4848),i=s(8453),o=s(1610),a=s(1470),l=s(9365);const c={title:"Quickstart",slug:"/quickstart"},d=void 0,h={},p=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Load and chat with your own documents",id:"load-and-chat-with-your-own-documents",level:2},{value:"Swap out the language model to modify agent behavior",id:"change-components",level:2},{value:"Integrate OpenRAG into your application",id:"integrate-openrag-into-your-application",level:2}];function u(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",img:"img",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,i.R)(),...e.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)(n.p,{children:"Get started with OpenRAG by loading your knowledge, swapping out your language model, and then chatting with the Langflow API."}),"\n",(0,r.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,r.jsx)(n.admonition,{type:"tip",children:(0,r.jsxs)(n.p,{children:["This quickstart uses a minimal setup to demonstrate OpenRAG's core functionality. After you complete the quickstart, it is recommended that you reinstall OpenRAG with your preferred configuration because some settings are immutable after initial setup. For all installation options, see ",(0,r.jsx)(n.a,{href:"/install",children:"Install OpenRAG with TUI"})," and ",(0,r.jsx)(n.a,{href:"/docker",children:"Install OpenRAG with containers"}),"."]})}),"\n",(0,r.jsxs)(n.p,{children:["Install OpenRAG with the automatic installer.\nThe script detects and installs uv, Docker/Podman, and Docker Compose prerequisites, and then starts OpenRAG with ",(0,r.jsx)(n.code,{children:"uvx"}),"."]}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Create a directory to store the OpenRAG configuration files:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"mkdir openrag-workspace\ncd openrag-workspace\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Run the installer:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"curl -fsSL https://docs.openr.ag/files/run_openrag_with_prereqs.sh | bash\n"})}),"\n",(0,r.jsxs)(n.p,{children:["The TUI creates a ",(0,r.jsx)(n.code,{children:".env"})," file and docker-compose files in the current working directory, and then starts OpenRAG."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Select ",(0,r.jsx)(n.strong,{children:"Basic Setup"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To generate a password for OpenSearch, click ",(0,r.jsx)(n.strong,{children:"Generate Passwords"}),".\nThe other fields aren't required."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To start OpenRAG, click ",(0,r.jsx)(n.strong,{children:"Start All Services"}),".\nStartup pulls container images and runs them, so it can take some time.\nWhen startup is complete, the TUI displays the following:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"Services started successfully\nCommand completed successfully\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To open the OpenRAG application, navigate to the TUI main menu, and then click ",(0,r.jsx)(n.strong,{children:"Open App"}),".\nAlternatively, in your browser, navigate to ",(0,r.jsx)(n.code,{children:"localhost:3000"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["For your model provider, select ",(0,r.jsx)(n.strong,{children:"OpenAI"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In the ",(0,r.jsx)(n.strong,{children:"OpenAI API key"})," field, paste your OpenAI API key.\nThe default model settings are fine for the quickstart."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To confirm your provider settings, click ",(0,r.jsx)(n.strong,{children:"Complete"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To complete onboarding, click ",(0,r.jsx)(n.strong,{children:"What is OpenRAG"}),", and then click ",(0,r.jsx)(n.strong,{children:"Add a document"}),".\nAlternatively, click ",(0,r.jsx)(o.A,{name:"ArrowRight","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Skip overview"}),"."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["To quit OpenRAG, navigate to the TUI main menu and press ",(0,r.jsx)("kbd",{children:"q"}),".\nTo start OpenRAG again, run ",(0,r.jsx)(n.code,{children:"uvx openrag"}),"."]}),"\n",(0,r.jsx)(n.h2,{id:"load-and-chat-with-your-own-documents",children:"Load and chat with your own documents"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["In OpenRAG, click ",(0,r.jsx)(o.A,{name:"MessageSquare","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Chat"}),".\nThe chat is powered by the OpenRAG OpenSearch Agent.\nFor more information, see ",(0,r.jsx)(n.a,{href:"/agents",children:"Langflow in OpenRAG"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["Ask ",(0,r.jsx)(n.code,{children:"What documents are available to you?"}),"\nThe agent responds with a message summarizing the documents that OpenRAG loads by default.\nKnowledge is stored in OpenSearch.\nFor more information, see ",(0,r.jsx)(n.a,{href:"/knowledge",children:"OpenSearch in OpenRAG"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["To confirm the agent is correct about the default knowledge, click ",(0,r.jsx)(o.A,{name:"Library","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Knowledge"}),".\nThe ",(0,r.jsx)(n.strong,{children:"Knowledge"})," page lists the documents OpenRAG has ingested into the OpenSearch vector database.\nClick on a document to display the chunks derived from splitting the default documents into the OpenSearch vector database."]}),"\n",(0,r.jsxs)(n.li,{children:["To add documents to your knowledge base, click ",(0,r.jsx)(n.strong,{children:"Add Knowledge"}),".","\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Select ",(0,r.jsx)(o.A,{name:"File","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"File"})," to add a single file from your local machine."]}),"\n",(0,r.jsxs)(n.li,{children:["Select ",(0,r.jsx)(o.A,{name:"Folder","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Folder"})," to process an entire folder of documents from your local machine. The default directory is ",(0,r.jsx)(n.code,{children:"/documents"})," in your OpenRAG directory."]}),"\n",(0,r.jsxs)(n.li,{children:["Select your cloud storage provider to add knowledge from an OAuth-connected storage provider. For more information, see ",(0,r.jsx)(n.a,{href:"/knowledge#oauth-ingestion",children:"OAuth ingestion"}),"."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["Return to the Chat window and ask a question about your loaded data.\nFor example, with a manual about a PC tablet loaded, ask ",(0,r.jsx)(n.code,{children:"How do I connect this device to WiFi?"}),"\nThe agent responds with a message indicating it now has your knowledge as context for answering questions."]}),"\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(o.A,{name:"Gear","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Function Call: search_documents (tool_call)"}),".\nThis log describes how the agent uses tools.\nThis is helpful for troubleshooting when the agent isn't responding as expected."]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"change-components",children:"Swap out the language model to modify agent behavior"}),"\n",(0,r.jsxs)(n.p,{children:["To modify the knowledge ingestion or Agent behavior, click ",(0,r.jsx)(o.A,{name:"Settings2","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Settings"}),"."]}),"\n",(0,r.jsx)(n.p,{children:"In this example, you'll try a different LLM to demonstrate how the Agent's response changes."}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To edit the Agent's behavior, click ",(0,r.jsx)(n.strong,{children:"Edit in Langflow"}),".\nYou can more quickly access these parameters in the ",(0,r.jsx)(n.strong,{children:"Language model"})," and ",(0,r.jsx)(n.strong,{children:"Agent Instructions"})," fields in this page, but for illustration purposes, navigate to the Langflow visual builder.\nTo revert the flow to its initial state, click ",(0,r.jsx)(n.strong,{children:"Restore flow"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["OpenRAG warns you that you're entering Langflow. Click ",(0,r.jsx)(n.strong,{children:"Proceed"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["If Langflow requests login information, enter the ",(0,r.jsx)(n.code,{children:"LANGFLOW_SUPERUSER"})," and ",(0,r.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," from the ",(0,r.jsx)(n.code,{children:".env"})," file in your OpenRAG directory."]}),"\n",(0,r.jsxs)(n.p,{children:["The OpenRAG OpenSearch Agent flow appears in a new browser window.\n",(0,r.jsx)(n.img,{alt:"OpenRAG Open Search Agent Flow",src:s(3982).A+"",width:"4084",height:"2176"})]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Find the ",(0,r.jsx)(n.strong,{children:"Language Model"})," component, and then change the ",(0,r.jsx)(n.strong,{children:"Model Name"})," field to a different OpenAI model."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Save your flow with ",(0,r.jsx)("kbd",{children:"Command+S"})," (Mac) or ",(0,r.jsx)("kbd",{children:"Ctrl+S"})," (Windows)."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Return to the OpenRAG browser window, and start a new conversation by clicking ",(0,r.jsx)(o.A,{name:"Plus","aria-hidden":"true"})," in the ",(0,r.jsx)(n.strong,{children:"Conversations"})," tab."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Ask the same question you asked before to see how the response differs between models."}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"integrate-openrag-into-your-application",children:"Integrate OpenRAG into your application"}),"\n",(0,r.jsxs)(n.p,{children:["Langflow in OpenRAG includes pre-built flows that you can integrate into your applications using the ",(0,r.jsx)(n.a,{href:"https://docs.langflow.org/api-reference-api-examples",children:"Langflow API"}),"."]}),"\n",(0,r.jsx)(n.p,{children:"The Langflow API accepts Python, TypeScript, or curl requests to run flows and get responses. You can use these flows as-is or modify them to better suit your needs."}),"\n",(0,r.jsx)(n.p,{children:"In this section, you'll run the OpenRAG OpenSearch Agent flow and get a response using the API."}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To navigate to the OpenRAG OpenSearch Agent flow in Langflow, click ",(0,r.jsx)(o.A,{name:"Settings2","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Settings"}),", and then click ",(0,r.jsx)(n.strong,{children:"Edit in Langflow"})," in the OpenRAG OpenSearch Agent flow."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Create a ",(0,r.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication",children:"Langflow API key"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["A Langflow API key is a user-specific token you can use with Langflow.\nIt is ",(0,r.jsx)(n.strong,{children:"only"})," used for sending requests to the Langflow server.\nIt does ",(0,r.jsx)(n.strong,{children:"not"})," access OpenRAG."]}),"\n",(0,r.jsx)(n.p,{children:"To create a Langflow API key, do the following:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Open Langflow, click your user icon, and then select ",(0,r.jsx)(n.strong,{children:"Settings"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(n.strong,{children:"Langflow API Keys"}),", and then click ",(0,r.jsx)(o.A,{name:"Plus","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Add New"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["Name your key, and then click ",(0,r.jsx)(n.strong,{children:"Create API Key"}),"."]}),"\n",(0,r.jsx)(n.li,{children:"Copy the API key and store it securely."}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Langflow includes code snippets for the request to the Langflow API.\nTo retrieve the code snippet, click ",(0,r.jsx)(n.strong,{children:"Share"}),", and then click ",(0,r.jsx)(n.strong,{children:"API access"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["The default code in the API access pane constructs a request with the Langflow server ",(0,r.jsx)(n.code,{children:"url"}),", ",(0,r.jsx)(n.code,{children:"headers"}),", and a ",(0,r.jsx)(n.code,{children:"payload"})," of request data. The code snippets automatically include the ",(0,r.jsx)(n.code,{children:"LANGFLOW_SERVER_ADDRESS"})," and ",(0,r.jsx)(n.code,{children:"FLOW_ID"})," values for the flow."]}),"\n",(0,r.jsxs)(a.A,{children:[(0,r.jsx)(l.A,{value:"python",label:"Python",children:(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-python",children:'import requests\nimport os\nimport uuid\n\napi_key = \'LANGFLOW_API_KEY\'\nurl = "http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID" # The complete API endpoint URL for this flow\n\n# Request payload configuration\npayload = {\n "output_type": "chat",\n "input_type": "chat",\n "input_value": "hello world!"\n}\npayload["session_id"] = str(uuid.uuid4())\n\nheaders = {"x-api-key": api_key}\n\ntry:\n # Send API request\n response = requests.request("POST", url, json=payload, headers=headers)\n response.raise_for_status() # Raise exception for bad status codes\n\n # Print response\n print(response.text)\n\nexcept requests.exceptions.RequestException as e:\n print(f"Error making API request: {e}")\nexcept ValueError as e:\n print(f"Error parsing response: {e}")\n'})})}),(0,r.jsx)(l.A,{value:"typescript",label:"TypeScript",children:(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-typescript",children:'const crypto = require(\'crypto\');\nconst apiKey = \'LANGFLOW_API_KEY\';\nconst payload = {\n "output_type": "chat",\n "input_type": "chat",\n "input_value": "hello world!"\n};\npayload.session_id = crypto.randomUUID();\n\nconst options = {\n method: \'POST\',\n headers: {\n \'Content-Type\': \'application/json\',\n "x-api-key": apiKey\n },\n body: JSON.stringify(payload)\n};\n\nfetch(\'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID\', options)\n .then(response => response.json())\n .then(response => console.warn(response))\n .catch(err => console.error(err));\n'})})}),(0,r.jsx)(l.A,{value:"curl",label:"curl",children:(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:'curl --request POST \\\n --url \'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID?stream=false\' \\\n --header \'Content-Type: application/json\' \\\n --header "x-api-key: LANGFLOW_API_KEY" \\\n --data \'{\n "output_type": "chat",\n "input_type": "chat",\n "input_value": "hello world!"\n }\'\n'})})})]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Copy the snippet, paste it in a script file, and then run the script to send the request. If you are using the curl snippet, you can run the command directly in your terminal."}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"If the request is successful, the response includes many details about the flow run, including the session ID, inputs, outputs, components, durations, and more."}),"\n",(0,r.jsx)(n.p,{children:"To further explore the API, see:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["The Langflow ",(0,r.jsx)(n.a,{href:"https://docs.langflow.org/quickstart#extract-data-from-the-response",children:"Quickstart"})," extends this example with extracting fields from the response."]}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"https://docs.langflow.org/api-reference-api-examples",children:"Get started with the Langflow API"})}),"\n"]})]})}function g(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(u,{...e})}):u(e)}},3982:(e,n,s)=>{s.d(n,{A:()=>t});const t=s.p+"assets/images/opensearch-agent-flow-f3b279e02425cd043002eb7749067108.png"}}]); \ No newline at end of file diff --git a/assets/js/c8078f0a.4aee576d.js b/assets/js/c8078f0a.4aee576d.js deleted file mode 100644 index 79f8820e..00000000 --- a/assets/js/c8078f0a.4aee576d.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkopenrag_docs=self.webpackChunkopenrag_docs||[]).push([[9026],{9196:(e,n,r)=>{r.r(n),r.d(n,{assets:()=>c,contentTitle:()=>t,default:()=>a,frontMatter:()=>l,metadata:()=>s,toc:()=>o});const s=JSON.parse('{"id":"reference/configuration","title":"Environment variables","description":"OpenRAG recognizes environment variables from the following sources:","source":"@site/docs/reference/configuration.mdx","sourceDirName":"reference","slug":"/reference/configuration","permalink":"/reference/configuration","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/reference/configuration.mdx","tags":[],"version":"current","frontMatter":{"title":"Environment variables","slug":"/reference/configuration"},"sidebar":"tutorialSidebar","previous":{"title":"Docling in OpenRAG","permalink":"/ingestion"},"next":{"title":"Troubleshooting","permalink":"/support/troubleshoot"}}');var i=r(4848),d=r(8453);r(1610),r(1470),r(9365);const l={title:"Environment variables",slug:"/reference/configuration"},t=void 0,c={},o=[{value:"Configure environment variables",id:"configure-environment-variables",level:2},{value:"Set environment variables",id:"set-environment-variables",level:3},{value:"Supported environment variables",id:"supported-environment-variables",level:2},{value:"AI provider settings",id:"ai-provider-settings",level:3},{value:"Document processing",id:"document-processing",level:3},{value:"Langflow settings",id:"langflow-settings",level:3},{value:"OAuth provider settings",id:"oauth-provider-settings",level:3},{value:"OpenSearch settings",id:"opensearch-settings",level:3},{value:"System settings",id:"system-settings",level:3},{value:"Langflow runtime overrides",id:"langflow-runtime-overrides",level:2},{value:"Default values and fallbacks",id:"default-values-and-fallbacks",level:2},{value:"OpenRAG configuration defaults",id:"openrag-configuration-defaults",level:3},{value:"System configuration defaults",id:"system-configuration-defaults",level:3}];function h(e){const n={a:"a",code:"code",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,d.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(n.p,{children:"OpenRAG recognizes environment variables from the following sources:"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.a,{href:"#configure-environment-variables",children:"Environment variables"})," - Values set in the ",(0,i.jsx)(n.code,{children:".env"})," file."]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.a,{href:"#langflow-runtime-overrides",children:"Langflow runtime overrides"})," - Langflow components may tweak environment variables at runtime."]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.a,{href:"#default-values-and-fallbacks",children:"Default or fallback values"})," - These values are default or fallback values if OpenRAG doesn't find a value."]}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"configure-environment-variables",children:"Configure environment variables"}),"\n",(0,i.jsxs)(n.p,{children:["Environment variables are set in a ",(0,i.jsx)(n.code,{children:".env"})," file in the root of your OpenRAG project directory."]}),"\n",(0,i.jsxs)(n.p,{children:["For an example ",(0,i.jsx)(n.code,{children:".env"})," file, see ",(0,i.jsxs)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/.env.example",children:[(0,i.jsx)(n.code,{children:".env.example"})," in the OpenRAG repository"]}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["The Docker Compose files are populated with values from your ",(0,i.jsx)(n.code,{children:".env"}),", so you don't need to edit the Docker Compose files manually."]}),"\n",(0,i.jsx)(n.p,{children:"Environment variables always take precedence over other variables."}),"\n",(0,i.jsx)(n.h3,{id:"set-environment-variables",children:"Set environment variables"}),"\n",(0,i.jsx)(n.p,{children:"To set environment variables, do the following."}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Stop OpenRAG."}),"\n",(0,i.jsxs)(n.li,{children:["Set the values in the ",(0,i.jsx)(n.code,{children:".env"})," file:","\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"LOG_LEVEL=DEBUG\nLOG_FORMAT=json\nSERVICE_NAME=openrag-dev\n"})}),"\n"]}),"\n",(0,i.jsx)(n.li,{children:"Start OpenRAG."}),"\n"]}),"\n",(0,i.jsxs)(n.p,{children:["Updating provider API keys or provider endpoints in the ",(0,i.jsx)(n.code,{children:".env"})," file will not take effect after ",(0,i.jsx)(n.a,{href:"/install#application-onboarding",children:"Application onboarding"}),". To change these values, you must:"]}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Stop OpenRAG."}),"\n",(0,i.jsxs)(n.li,{children:["Remove the containers:","\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"docker-compose down\n"})}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["Update the values in your ",(0,i.jsx)(n.code,{children:".env"})," file."]}),"\n",(0,i.jsxs)(n.li,{children:["Start OpenRAG containers.","\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"docker-compose up -d\n"})}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["Complete ",(0,i.jsx)(n.a,{href:"/install#application-onboarding",children:"Application onboarding"})," again."]}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"supported-environment-variables",children:"Supported environment variables"}),"\n",(0,i.jsx)(n.p,{children:"All OpenRAG configuration can be controlled through environment variables."}),"\n",(0,i.jsx)(n.h3,{id:"ai-provider-settings",children:"AI provider settings"}),"\n",(0,i.jsxs)(n.p,{children:["Configure which AI models and providers OpenRAG uses for language processing and embeddings.\nFor more information, see ",(0,i.jsx)(n.a,{href:"/install#application-onboarding",children:"Application onboarding"}),"."]}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Variable"}),(0,i.jsx)(n.th,{children:"Default"}),(0,i.jsx)(n.th,{children:"Description"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"EMBEDDING_MODEL"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"text-embedding-3-small"})}),(0,i.jsx)(n.td,{children:"Embedding model for vector search."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LLM_MODEL"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"gpt-4o-mini"})}),(0,i.jsx)(n.td,{children:"Language model for the chat agent."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"MODEL_PROVIDER"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"openai"})}),(0,i.jsx)(n.td,{children:"Model provider, such as OpenAI or IBM watsonx.ai."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENAI_API_KEY"})}),(0,i.jsx)(n.td,{children:"-"}),(0,i.jsx)(n.td,{children:"Your OpenAI API key. Required."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"PROVIDER_API_KEY"})}),(0,i.jsx)(n.td,{children:"-"}),(0,i.jsx)(n.td,{children:"API key for the model provider."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"PROVIDER_ENDPOINT"})}),(0,i.jsx)(n.td,{children:"-"}),(0,i.jsx)(n.td,{children:"Custom provider endpoint. Only used for IBM or Ollama providers."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"PROVIDER_PROJECT_ID"})}),(0,i.jsx)(n.td,{children:"-"}),(0,i.jsx)(n.td,{children:"Project ID for providers. Only required for the IBM watsonx.ai provider."})]})]})]}),"\n",(0,i.jsx)(n.h3,{id:"document-processing",children:"Document processing"}),"\n",(0,i.jsxs)(n.p,{children:["Control how OpenRAG processes and ingests documents into your knowledge base.\nFor more information, see ",(0,i.jsx)(n.a,{href:"/ingestion",children:"Ingestion"}),"."]}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Variable"}),(0,i.jsx)(n.th,{children:"Default"}),(0,i.jsx)(n.th,{children:"Description"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"CHUNK_OVERLAP"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"200"})}),(0,i.jsx)(n.td,{children:"Overlap between chunks."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"CHUNK_SIZE"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"1000"})}),(0,i.jsx)(n.td,{children:"Text chunk size for document processing."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"DISABLE_INGEST_WITH_LANGFLOW"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"false"})}),(0,i.jsx)(n.td,{children:"Disable Langflow ingestion pipeline."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"DOCLING_OCR_ENGINE"})}),(0,i.jsx)(n.td,{children:"-"}),(0,i.jsx)(n.td,{children:"OCR engine for document processing."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OCR_ENABLED"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"false"})}),(0,i.jsx)(n.td,{children:"Enable OCR for image processing."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENRAG_DOCUMENTS_PATHS"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"./documents"})}),(0,i.jsx)(n.td,{children:"Document paths for ingestion."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"PICTURE_DESCRIPTIONS_ENABLED"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"false"})}),(0,i.jsx)(n.td,{children:"Enable picture descriptions."})]})]})]}),"\n",(0,i.jsx)(n.h3,{id:"langflow-settings",children:"Langflow settings"}),"\n",(0,i.jsx)(n.p,{children:"Configure Langflow authentication."}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Variable"}),(0,i.jsx)(n.th,{children:"Default"}),(0,i.jsx)(n.th,{children:"Description"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_AUTO_LOGIN"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"False"})}),(0,i.jsx)(n.td,{children:"Enable auto-login for Langflow."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_CHAT_FLOW_ID"})}),(0,i.jsx)(n.td,{children:"pre-filled"}),(0,i.jsxs)(n.td,{children:["This value is pre-filled. The default value is found in ",(0,i.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/.env.example",children:".env.example"}),"."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_ENABLE_SUPERUSER_CLI"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"False"})}),(0,i.jsx)(n.td,{children:"Enable superuser CLI."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_INGEST_FLOW_ID"})}),(0,i.jsx)(n.td,{children:"pre-filled"}),(0,i.jsxs)(n.td,{children:["This value is pre-filled. The default value is found in ",(0,i.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/.env.example",children:".env.example"}),"."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_KEY"})}),(0,i.jsx)(n.td,{children:"auto-generated"}),(0,i.jsx)(n.td,{children:"Explicit Langflow API key."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_NEW_USER_IS_ACTIVE"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"False"})}),(0,i.jsx)(n.td,{children:"New users are active by default."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_PUBLIC_URL"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"http://localhost:7860"})}),(0,i.jsx)(n.td,{children:"Public URL for Langflow."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_SECRET_KEY"})}),(0,i.jsx)(n.td,{children:"-"}),(0,i.jsx)(n.td,{children:"Secret key for Langflow internal operations."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER"})}),(0,i.jsx)(n.td,{children:"-"}),(0,i.jsx)(n.td,{children:"Langflow admin username. 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This adds OpenRAG to your ",(0,r.jsx)(n.code,{children:"pyproject.toml"})," and lockfile, making your installation reproducible and version-controlled."]}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Create a new project with a virtual environment:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uv init YOUR_PROJECT_NAME\ncd YOUR_PROJECT_NAME\n"})}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.code,{children:"(venv)"})," prompt doesn't change, but ",(0,r.jsx)(n.code,{children:"uv"})," commands will automatically use the project's virtual environment."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Add OpenRAG to your project:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uv add openrag\n"})}),"\n",(0,r.jsx)(n.p,{children:"To add a specific version:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uv add openrag==0.1.30\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Start the OpenRAG TUI:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uv run openrag\n"})}),"\n"]}),"\n"]}),(0,r.jsxs)(i,{closed:!0,children:[(0,r.jsx)("summary",{children:"Install a local wheel"}),(0,r.jsx)(n.p,{children:"If you downloaded the OpenRAG wheel to your local machine, install it by specifying its path:"}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Add the wheel to your project:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uv add PATH/TO/openrag-VERSION-py3-none-any.whl\n"})}),"\n",(0,r.jsxs)(n.p,{children:["Replace ",(0,r.jsx)(n.code,{children:"PATH/TO/"})," and ",(0,r.jsx)(n.code,{children:"VERSION"})," with the path and version of your downloaded OpenRAG ",(0,r.jsx)(n.code,{children:".whl"})," file."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Run OpenRAG:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uv run openrag\n"})}),"\n"]}),"\n"]})]})]}),(0,r.jsxs)(o.A,{value:"uv-pip",label:"Existing virtual environment with uv pip install",children:[(0,r.jsxs)(n.p,{children:["Use ",(0,r.jsx)(n.code,{children:"uv pip install"})," to install OpenRAG into an existing virtual environment that isn't managed by ",(0,r.jsx)(n.code,{children:"uv"}),"."]}),(0,r.jsx)(n.admonition,{type:"tip",children:(0,r.jsxs)(n.p,{children:["For new projects, ",(0,r.jsx)(n.code,{children:"uv add"})," is recommended as it manages dependencies in your project's lockfile."]})}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Activate your virtual environment."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Install OpenRAG:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uv pip install openrag\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Run OpenRAG:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"openrag\n"})}),"\n"]}),"\n"]})]})]}),"\n",(0,r.jsxs)(n.p,{children:["Continue with ",(0,r.jsx)(n.a,{href:"#setup",children:"Set up OpenRAG with the TUI"}),"."]}),"\n",(0,r.jsx)(n.h2,{id:"setup",children:"Set up OpenRAG with the TUI"}),"\n",(0,r.jsxs)(n.p,{children:["The TUI creates a ",(0,r.jsx)(n.code,{children:".env"})," file in your OpenRAG directory root and starts OpenRAG.\nIf the TUI detects a ",(0,r.jsx)(n.code,{children:".env"})," file in the OpenRAG root directory, it sources any variables from the ",(0,r.jsx)(n.code,{children:".env"})," file.\nIf the TUI detects OAuth credentials, it enforces the ",(0,r.jsx)(n.strong,{children:"Advanced Setup"})," path."]}),"\n",(0,r.jsxs)(l.A,{groupId:"Setup method",children:[(0,r.jsxs)(o.A,{value:"Basic setup",label:"Basic setup",default:!0,children:[(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Basic Setup"})," can generate all of the required values for OpenRAG except the OpenAI API key.\n",(0,r.jsx)(n.strong,{children:"Basic Setup"})," does not set up OAuth connections for ingestion from cloud providers.\nFor OAuth setup, use ",(0,r.jsx)(n.strong,{children:"Advanced Setup"}),".\nFor information about the difference between basic (no auth) and OAuth in OpenRAG, see ",(0,r.jsx)(n.a,{href:"/knowledge#auth",children:"Authentication and document access"}),"."]}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To install OpenRAG with ",(0,r.jsx)(n.strong,{children:"Basic Setup"}),", click ",(0,r.jsx)(n.strong,{children:"Basic Setup"})," or press ",(0,r.jsx)("kbd",{children:"1"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Generate Passwords"})," to generate passwords for OpenSearch and Langflow."]}),"\n",(0,r.jsxs)(n.p,{children:["The OpenSearch password is required. The Langflow admin password is optional.\nIf no Langflow admin password is generated, Langflow runs in ",(0,r.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#langflow-auto-login",children:"autologin mode"})," with no password required."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Paste your OpenAI API key in the OpenAI API key field."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Save Configuration"}),".\nYour passwords are saved in the ",(0,r.jsx)(n.code,{children:".env"})," file used to start OpenRAG."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To start OpenRAG, click ",(0,r.jsx)(n.strong,{children:"Start All Services"}),".\nStartup pulls container images and runs them, so it can take some time.\nWhen startup is complete, the TUI displays the following:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"Services started successfully\nCommand completed successfully\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To start the Docling service, under ",(0,r.jsx)(n.strong,{children:"Native Services"}),", click ",(0,r.jsx)(n.strong,{children:"Start"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To open the OpenRAG application, navigate to the TUI main menu, and then click ",(0,r.jsx)(n.strong,{children:"Open App"}),".\nAlternatively, in your browser, navigate to ",(0,r.jsx)(n.code,{children:"localhost:3000"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Continue with ",(0,r.jsx)(n.a,{href:"#application-onboarding",children:"Application Onboarding"}),"."]}),"\n"]}),"\n"]})]}),(0,r.jsx)(o.A,{value:"Advanced setup",label:"Advanced setup",children:(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To install OpenRAG with ",(0,r.jsx)(n.strong,{children:"Advanced Setup"}),", click ",(0,r.jsx)(n.strong,{children:"Advanced Setup"})," or press ",(0,r.jsx)("kbd",{children:"2"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Generate Passwords"})," to generate passwords for OpenSearch and Langflow."]}),"\n",(0,r.jsxs)(n.p,{children:["The OpenSearch password is required. The Langflow admin password is optional.\nIf no Langflow admin password is generated, Langflow runs in ",(0,r.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#langflow-auto-login",children:"autologin mode"})," with no password required."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Paste your OpenAI API key in the OpenAI API key field."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Add your client and secret values for Google or Microsoft OAuth.\nThese values can be found with your OAuth provider.\nFor more information, see the ",(0,r.jsx)(n.a,{href:"https://developers.google.com/identity/protocols/oauth2",children:"Google OAuth client"})," or ",(0,r.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/graph-oauth",children:"Microsoft Graph OAuth client"})," documentation."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"The OpenRAG TUI presents redirect URIs for your OAuth app.\nThese are the URLs your OAuth provider will redirect back to after user sign-in.\nRegister these redirect values with your OAuth provider as they are presented in the TUI."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Save Configuration"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To start OpenRAG, click ",(0,r.jsx)(n.strong,{children:"Start All Services"}),".\nStartup pulls container images and runs them, so it can take some time.\nWhen startup is complete, the TUI displays the following:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"Services started successfully\nCommand completed successfully\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To start the Docling service, under ",(0,r.jsx)(n.strong,{children:"Native Services"}),", click ",(0,r.jsx)(n.strong,{children:"Start"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To open the OpenRAG application, navigate to the TUI main menu, and then click ",(0,r.jsx)(n.strong,{children:"Open App"}),".\nAlternatively, in your browser, navigate to ",(0,r.jsx)(n.code,{children:"localhost:3000"}),".\nYou are presented with your provider's OAuth sign-in screen.\nAfter sign-in, you are redirected to the redirect URI."]}),"\n",(0,r.jsx)(n.p,{children:"Two additional variables are available for Advanced Setup:"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.code,{children:"LANGFLOW_PUBLIC_URL"})," controls where the Langflow web interface can be accessed. This is where users interact with their flows in a browser."]}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.code,{children:"WEBHOOK_BASE_URL"})," controls where the endpoint for ",(0,r.jsx)(n.code,{children:"/connectors/CONNECTOR_TYPE/webhook"})," will be available.\nThis connection enables real-time document synchronization with external services.\nSupported webhook endpoints:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Google Drive: ",(0,r.jsx)(n.code,{children:"/connectors/google_drive/webhook"})]}),"\n",(0,r.jsxs)(n.li,{children:["OneDrive: ",(0,r.jsx)(n.code,{children:"/connectors/onedrive/webhook"})]}),"\n",(0,r.jsxs)(n.li,{children:["SharePoint: ",(0,r.jsx)(n.code,{children:"/connectors/sharepoint/webhook"})]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Continue with ",(0,r.jsx)(n.a,{href:"#application-onboarding",children:"Application Onboarding"}),"."]}),"\n"]}),"\n"]})})]}),"\n",(0,r.jsx)(a.Ay,{}),"\n",(0,r.jsx)(n.h2,{id:"close-the-openrag-tui",children:"Close the OpenRAG TUI"}),"\n",(0,r.jsxs)(n.p,{children:["To close the OpenRAG TUI, press ",(0,r.jsx)("kbd",{children:"q"}),".\nThe OpenRAG containers will continue to be served until the containers are stopped.\nFor more information, see ",(0,r.jsx)(n.a,{href:"#tui-container-management",children:"Manage OpenRAG containers with the TUI "}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["To start the TUI again, run ",(0,r.jsx)(n.code,{children:"uv run openrag"}),"."]}),"\n",(0,r.jsx)(n.h2,{id:"tui-container-management",children:"Manage OpenRAG containers with the TUI"}),"\n",(0,r.jsx)(n.p,{children:"After installation, the TUI can deploy, manage, and upgrade your OpenRAG containers."}),"\n",(0,r.jsx)(n.h3,{id:"start-all-services",children:"Start all services"}),"\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Start All Services"})," to start the OpenRAG containers.\nThe TUI automatically detects your container runtime, and then checks if your machine has compatible GPU support by checking for ",(0,r.jsx)(n.code,{children:"CUDA"}),", ",(0,r.jsx)(n.code,{children:"NVIDIA_SMI"}),", and Docker/Podman runtime support. This check determines which Docker Compose file OpenRAG uses.\nThe TUI then pulls the images and deploys the containers with the following command."]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"docker compose up -d\n"})}),"\n",(0,r.jsxs)(n.p,{children:["If images are missing, the TUI runs ",(0,r.jsx)(n.code,{children:"docker compose pull"}),", then runs ",(0,r.jsx)(n.code,{children:"docker compose up -d"}),"."]}),"\n",(0,r.jsx)(n.h3,{id:"status",children:"Status"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Status"})," menu displays information on your container deployment.\nHere you can check container health, find your service ports, view logs, and upgrade your containers."]}),"\n",(0,r.jsxs)(n.p,{children:["To view streaming logs, select the container you want to view, and press ",(0,r.jsx)("kbd",{children:"l"}),".\nTo copy your logs, click ",(0,r.jsx)(n.strong,{children:"Copy to Clipboard"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["To ",(0,r.jsx)(n.strong,{children:"upgrade"})," your containers, click ",(0,r.jsx)(n.strong,{children:"Upgrade"}),".\n",(0,r.jsx)(n.strong,{children:"Upgrade"})," runs ",(0,r.jsx)(n.code,{children:"docker compose pull"})," and then ",(0,r.jsx)(n.code,{children:"docker compose up -d --force-recreate"}),".\nThe first command pulls the latest images of OpenRAG.\nThe second command recreates the containers with your data persisted."]}),"\n",(0,r.jsxs)(n.p,{children:["To ",(0,r.jsx)(n.strong,{children:"reset"})," your containers, click ",(0,r.jsx)(n.strong,{children:"Reset"}),".\nReset gives you a completely fresh start.\nReset deletes all of your data, including OpenSearch data, uploaded documents, and authentication.\n",(0,r.jsx)(n.strong,{children:"Reset"})," runs two commands.\nIt first stops and removes all containers, volumes, and local images."]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"docker compose down --volumes --remove-orphans --rmi local\n"})}),"\n",(0,r.jsxs)(n.p,{children:["When the first command is complete, OpenRAG removes any additional Docker objects with ",(0,r.jsx)(n.code,{children:"prune"}),"."]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"docker system prune -f\n"})}),"\n",(0,r.jsx)(n.h3,{id:"native-services-status",children:"Native services status"}),"\n",(0,r.jsxs)(n.p,{children:["A ",(0,r.jsx)(n.em,{children:"native service"})," in OpenRAG refers to a service run locally on your machine, and not within a container.\nThe ",(0,r.jsx)(n.code,{children:"docling serve"})," process is a native service in OpenRAG, because it's a document processing service that is run on your local machine, and controlled separately from the containers."]}),"\n",(0,r.jsxs)(n.p,{children:["To start or stop ",(0,r.jsx)(n.code,{children:"docling serve"})," or any other native services, in the TUI Status menu, click ",(0,r.jsx)(n.strong,{children:"Stop"})," or ",(0,r.jsx)(n.strong,{children:"Restart"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["To view the status, port, or PID of a native service, in the TUI main menu, click ",(0,r.jsx)(n.a,{href:"#status",children:"Status"}),"."]}),"\n",(0,r.jsx)(n.h2,{id:"diagnostics",children:"Diagnostics"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Diagnostics"})," menu provides health monitoring for your container runtimes and monitoring of your OpenSearch security."]}),"\n",(0,r.jsx)(n.h2,{id:"reinstall",children:"Reinstall OpenRAG"}),"\n",(0,r.jsx)(n.p,{children:"To reinstall OpenRAG with a completely fresh setup:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Reset your containers using the ",(0,r.jsx)(n.strong,{children:"Reset"})," button in the ",(0,r.jsx)(n.a,{href:"#status",children:"TUI status"})," menu.\nThis removes all containers, volumes, and data."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Optional: Delete your project's ",(0,r.jsx)(n.code,{children:".env"})," file.\nThe Reset operation does not remove your project's ",(0,r.jsx)(n.code,{children:".env"})," file, so your passwords, API keys, and OAuth settings can be preserved.\nIf you delete the ",(0,r.jsx)(n.code,{children:".env"})," file, run the ",(0,r.jsx)(n.a,{href:"#setup",children:"Set up OpenRAG with the TUI"})," process again to create a new configuration."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In the TUI Setup menu, follow these steps from ",(0,r.jsx)(n.a,{href:"#setup",children:"Basic Setup"}),":"]}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(n.strong,{children:"Start All Services"})," to pull container images and start them."]}),"\n",(0,r.jsxs)(n.li,{children:["Under ",(0,r.jsx)(n.strong,{children:"Native Services"}),", click ",(0,r.jsx)(n.strong,{children:"Start"})," to start the Docling service."]}),"\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(n.strong,{children:"Open App"})," to open the OpenRAG application."]}),"\n",(0,r.jsxs)(n.li,{children:["Continue with ",(0,r.jsx)(n.a,{href:"#application-onboarding",children:"Application Onboarding"}),"."]}),"\n"]}),"\n"]}),"\n"]})]})}function x(e={}){const{wrapper:n}={...(0,t.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(u,{...e})}):u(e)}},5689:(e,n,s)=>{s.d(n,{A:()=>i});const i=s.p+"assets/images/OpenRAG_TUI_2025-09-10T13_04_11_757637-9441c53ba39162a88ac6c11cbeaed0e0.svg"}}]); \ No newline at end of file diff --git a/assets/js/d0314b07.614ea2c4.js b/assets/js/d0314b07.614ea2c4.js new file mode 100644 index 00000000..04cd53d4 --- /dev/null +++ b/assets/js/d0314b07.614ea2c4.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkopenrag_docs=self.webpackChunkopenrag_docs||[]).push([[5750],{887:(e,n,s)=>{s.d(n,{Ay:()=>d,RM:()=>a});var i=s(4848),r=s(8453),t=s(1610),l=s(1470),o=s(9365);const a=[{value:"Application onboarding",id:"application-onboarding",level:2}];function c(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",li:"li",ol:"ol",p:"p",strong:"strong",...(0,r.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(n.h2,{id:"application-onboarding",children:"Application onboarding"}),"\n",(0,i.jsxs)(n.p,{children:["The first time you start OpenRAG, whether using the TUI or a ",(0,i.jsx)(n.code,{children:".env"})," file, you must complete application onboarding."]}),"\n",(0,i.jsxs)(n.admonition,{type:"warning",children:[(0,i.jsxs)(n.p,{children:["Most values from onboarding can be changed later in the OpenRAG ",(0,i.jsx)(n.strong,{children:"Settings"})," page, but there are important restrictions."]}),(0,i.jsxs)(n.p,{children:["The ",(0,i.jsx)(n.strong,{children:"language model provider"})," and ",(0,i.jsx)(n.strong,{children:"embeddings model provider"})," can only be selected at onboarding.\nTo change your provider selection later, you must ",(0,i.jsx)(n.a,{href:"/install#reinstall",children:"reinstall OpenRAG"}),"."]}),(0,i.jsx)(n.p,{children:"You must use the same provider for your language model and embedding model, unless you're using Ollama."})]}),"\n",(0,i.jsx)(n.p,{children:"Choose one LLM provider and complete only those steps:"}),"\n",(0,i.jsxs)(l.A,{groupId:"Provider",children:[(0,i.jsx)(o.A,{value:"OpenAI",label:"OpenAI",default:!0,children:(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Enable ",(0,i.jsx)(n.strong,{children:"Get API key from environment variable"})," to automatically enter your key from the TUI-generated ",(0,i.jsx)(n.code,{children:".env"})," file.\nAlternatively, paste an OpenAI API key into the field."]}),"\n",(0,i.jsxs)(n.li,{children:["Under ",(0,i.jsx)(n.strong,{children:"Advanced settings"}),", select your ",(0,i.jsx)(n.strong,{children:"Embedding Model"})," and ",(0,i.jsx)(n.strong,{children:"Language Model"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["To load 2 sample PDFs, enable ",(0,i.jsx)(n.strong,{children:"Sample dataset"}),".\nThis is recommended, but not required."]}),"\n",(0,i.jsxs)(n.li,{children:["Click ",(0,i.jsx)(n.strong,{children:"Complete"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["To complete the onboarding tasks, click ",(0,i.jsx)(n.strong,{children:"What is OpenRAG"}),", and then click ",(0,i.jsx)(n.strong,{children:"Add a Document"}),".\nAlternatively, click ",(0,i.jsx)(t.A,{name:"ArrowRight","aria-hidden":"true"})," ",(0,i.jsx)(n.strong,{children:"Skip overview"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["Continue with the ",(0,i.jsx)(n.a,{href:"/quickstart",children:"Quickstart"}),"."]}),"\n"]})}),(0,i.jsx)(o.A,{value:"IBM watsonx.ai",label:"IBM watsonx.ai",children:(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Complete the fields for ",(0,i.jsx)(n.strong,{children:"watsonx.ai API Endpoint"}),", ",(0,i.jsx)(n.strong,{children:"IBM Project ID"}),", and ",(0,i.jsx)(n.strong,{children:"IBM API key"}),".\nThese values are found in your IBM watsonx deployment."]}),"\n",(0,i.jsxs)(n.li,{children:["Under ",(0,i.jsx)(n.strong,{children:"Advanced settings"}),", select your ",(0,i.jsx)(n.strong,{children:"Embedding Model"})," and ",(0,i.jsx)(n.strong,{children:"Language Model"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["To load 2 sample PDFs, enable ",(0,i.jsx)(n.strong,{children:"Sample dataset"}),".\nThis is recommended, but not required."]}),"\n",(0,i.jsxs)(n.li,{children:["Click ",(0,i.jsx)(n.strong,{children:"Complete"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["To complete the onboarding tasks, click ",(0,i.jsx)(n.strong,{children:"What is OpenRAG"}),", and then click ",(0,i.jsx)(n.strong,{children:"Add a Document"}),".\nAlternatively, click ",(0,i.jsx)(t.A,{name:"ArrowRight","aria-hidden":"true"})," ",(0,i.jsx)(n.strong,{children:"Skip overview"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["Continue with the ",(0,i.jsx)(n.a,{href:"/quickstart",children:"Quickstart"}),"."]}),"\n"]})}),(0,i.jsxs)(o.A,{value:"Ollama",label:"Ollama",children:[(0,i.jsx)(n.admonition,{type:"tip",children:(0,i.jsxs)(n.p,{children:["Ollama is not included with OpenRAG. To install Ollama, see the ",(0,i.jsx)(n.a,{href:"https://docs.ollama.com/",children:"Ollama documentation"}),"."]})}),(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Enter your Ollama server's base URL address.\nThe default Ollama server address is ",(0,i.jsx)(n.code,{children:"http://localhost:11434"}),".\nOpenRAG automatically transforms ",(0,i.jsx)(n.code,{children:"localhost"})," to access services outside of the container, and sends a test connection to your Ollama server to confirm connectivity."]}),"\n",(0,i.jsxs)(n.li,{children:["Select the ",(0,i.jsx)(n.strong,{children:"Embedding Model"})," and ",(0,i.jsx)(n.strong,{children:"Language Model"})," your Ollama server is running.\nOpenRAG retrieves the available models from your Ollama server."]}),"\n",(0,i.jsxs)(n.li,{children:["To load 2 sample PDFs, enable ",(0,i.jsx)(n.strong,{children:"Sample dataset"}),".\nThis is recommended, but not required."]}),"\n",(0,i.jsxs)(n.li,{children:["Click ",(0,i.jsx)(n.strong,{children:"Complete"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["To complete the onboarding tasks, click ",(0,i.jsx)(n.strong,{children:"What is OpenRAG"}),", and then click ",(0,i.jsx)(n.strong,{children:"Add a Document"}),".\nAlternatively, click ",(0,i.jsx)(t.A,{name:"ArrowRight","aria-hidden":"true"})," ",(0,i.jsx)(n.strong,{children:"Skip overview"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["Continue with the ",(0,i.jsx)(n.a,{href:"/quickstart",children:"Quickstart"}),"."]}),"\n"]})]})]})]})}function d(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(c,{...e})}):c(e)}},4398:(e,n,s)=>{s.r(n),s.d(n,{assets:()=>h,contentTitle:()=>d,default:()=>x,frontMatter:()=>c,metadata:()=>i,toc:()=>p});const i=JSON.parse('{"id":"get-started/install","title":"Install OpenRAG with TUI","description":"Install OpenRAG and then run the OpenRAG Terminal User Interface(TUI) to start your OpenRAG deployment with a guided setup process.","source":"@site/docs/get-started/install.mdx","sourceDirName":"get-started","slug":"/install","permalink":"/install","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/get-started/install.mdx","tags":[],"version":"current","frontMatter":{"title":"Install OpenRAG with TUI","slug":"/install"},"sidebar":"tutorialSidebar","previous":{"title":"Quickstart","permalink":"/quickstart"},"next":{"title":"Install OpenRAG containers","permalink":"/docker"}}');var r=s(4848),t=s(8453),l=s(1470),o=s(9365),a=s(887);const c={title:"Install OpenRAG with TUI",slug:"/install"},d=void 0,h={},p=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Install OpenRAG",id:"install",level:2},{value:"Set up OpenRAG with the TUI",id:"setup",level:2},...a.RM,{value:"Close the OpenRAG TUI",id:"close-the-openrag-tui",level:2},{value:"Manage OpenRAG containers with the TUI",id:"tui-container-management",level:2},{value:"Start all services",id:"start-all-services",level:3},{value:"Status",id:"status",level:3},{value:"Native services status",id:"native-services-status",level:3},{value:"Diagnostics",id:"diagnostics",level:2},{value:"Reinstall OpenRAG",id:"reinstall",level:2}];function u(e){const n={a:"a",admonition:"admonition",code:"code",em:"em",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,t.R)(),...e.components},{Details:i}=n;return i||function(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}("Details",!0),(0,r.jsxs)(r.Fragment,{children:[(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.a,{href:"#install",children:"Install OpenRAG"})," and then run the ",(0,r.jsx)(n.a,{href:"#setup",children:"OpenRAG Terminal User Interface(TUI)"})," to start your OpenRAG deployment with a guided setup process."]}),"\n",(0,r.jsx)(n.p,{children:"The OpenRAG Terminal User Interface (TUI) allows you to set up, configure, and monitor your OpenRAG deployment directly from the terminal."}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.img,{alt:"OpenRAG TUI Interface",src:s(5689).A+"",width:"1995",height:"1099"})}),"\n",(0,r.jsxs)(n.p,{children:["Instead of starting OpenRAG using Docker commands and manually editing values in the ",(0,r.jsx)(n.code,{children:".env"})," file, the TUI walks you through the setup. It prompts for variables where required, creates a ",(0,r.jsx)(n.code,{children:".env"})," file for you, and then starts OpenRAG."]}),"\n",(0,r.jsx)(n.p,{children:"Once OpenRAG is running, use the TUI to monitor your application, control your containers, and retrieve logs."}),"\n",(0,r.jsxs)(n.p,{children:["If you prefer running Podman or Docker containers and manually editing ",(0,r.jsx)(n.code,{children:".env"})," files, see ",(0,r.jsx)(n.a,{href:"/docker",children:"Install OpenRAG Containers"}),"."]}),"\n",(0,r.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Install ",(0,r.jsx)(n.a,{href:"https://www.python.org/downloads/release/python-3100/",children:"Python Version 3.10 to 3.13"})]}),"\n",(0,r.jsxs)(n.li,{children:["Install ",(0,r.jsx)(n.a,{href:"https://docs.astral.sh/uv/getting-started/installation/",children:"uv"})]}),"\n",(0,r.jsxs)(n.li,{children:["Install ",(0,r.jsx)(n.a,{href:"https://podman.io/docs/installation",children:"Podman"})," (recommended) or ",(0,r.jsx)(n.a,{href:"https://docs.docker.com/get-docker/",children:"Docker"})]}),"\n",(0,r.jsxs)(n.li,{children:["Install ",(0,r.jsx)(n.a,{href:"https://docs.docker.com/compose/install/",children:"Docker Compose"}),". If using Podman, use ",(0,r.jsx)(n.a,{href:"https://docs.podman.io/en/latest/markdown/podman-compose.1.html",children:"podman-compose"})," or alias Docker compose commands to Podman commands."]}),"\n",(0,r.jsxs)(n.li,{children:["Optional: Create an ",(0,r.jsx)(n.a,{href:"https://platform.openai.com/api-keys",children:"OpenAI API key"}),". During ",(0,r.jsx)(n.a,{href:"#application-onboarding",children:"Application Onboarding"}),", you can provide this key or choose a different model provider."]}),"\n",(0,r.jsxs)(n.li,{children:["Optional: Install GPU support with an NVIDIA GPU, ",(0,r.jsx)(n.a,{href:"https://docs.nvidia.com/cuda/",children:"CUDA"})," support, and compatible NVIDIA drivers on the OpenRAG host machine. If you don't have GPU capabilities, OpenRAG provides an alternate CPU-only deployment."]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"install",children:"Install OpenRAG"}),"\n",(0,r.jsx)(n.admonition,{title:"Windows users",type:"note",children:(0,r.jsxs)(n.p,{children:["To use OpenRAG on Windows, use ",(0,r.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/windows/wsl/install",children:"WSL (Windows Subsystem for Linux)"}),"."]})}),"\n",(0,r.jsx)(n.p,{children:"Choose an installation method based on your needs:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"For new users, the automatic installer script detects and installs prerequisites and then runs OpenRAG."}),"\n",(0,r.jsxs)(n.li,{children:["For a quick test, use ",(0,r.jsx)(n.code,{children:"uvx"})," to run OpenRAG without creating a project or modifying files."]}),"\n",(0,r.jsxs)(n.li,{children:["Use ",(0,r.jsx)(n.code,{children:"uv add"})," to install OpenRAG as a managed dependency in a new or existing Python project."]}),"\n",(0,r.jsxs)(n.li,{children:["Use ",(0,r.jsx)(n.code,{children:"uv pip install"})," to install OpenRAG into an existing virtual environment."]}),"\n"]}),"\n",(0,r.jsxs)(l.A,{groupId:"Installation method",children:[(0,r.jsxs)(o.A,{value:"installer",label:"Automatic installer",default:!0,children:[(0,r.jsxs)(n.p,{children:["The script detects and installs uv, Docker/Podman, and Docker Compose prerequisites, then runs OpenRAG with ",(0,r.jsx)(n.code,{children:"uvx"}),"."]}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Create a directory to store the OpenRAG configuration files:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"mkdir openrag-workspace\ncd openrag-workspace\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Run the installer:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"curl -fsSL https://docs.openr.ag/files/run_openrag_with_prereqs.sh | bash\n"})}),"\n"]}),"\n"]}),(0,r.jsxs)(n.p,{children:["The TUI creates a ",(0,r.jsx)(n.code,{children:".env"})," file and docker-compose files in the current working directory."]})]}),(0,r.jsxs)(o.A,{value:"uvx",label:"Quick test with uvx",children:[(0,r.jsxs)(n.p,{children:["Use ",(0,r.jsx)(n.code,{children:"uvx"})," to quickly run OpenRAG without creating a project or modifying any files."]}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Create a directory to store the OpenRAG configuration files:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"mkdir openrag-workspace\ncd openrag-workspace\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Run OpenRAG:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uvx openrag\n"})}),"\n",(0,r.jsx)(n.p,{children:"To run a specific version:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uvx --from openrag==0.1.30 openrag\n"})}),"\n"]}),"\n"]}),(0,r.jsxs)(n.p,{children:["The TUI creates a ",(0,r.jsx)(n.code,{children:".env"})," file and docker-compose files in the current working directory."]})]}),(0,r.jsxs)(o.A,{value:"uv-add",label:"Python project with uv add",children:[(0,r.jsxs)(n.p,{children:["Use ",(0,r.jsx)(n.code,{children:"uv add"})," to install OpenRAG as a dependency in your Python project. This adds OpenRAG to your ",(0,r.jsx)(n.code,{children:"pyproject.toml"})," and lockfile, making your installation reproducible and version-controlled."]}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Create a new project with a virtual environment:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uv init YOUR_PROJECT_NAME\ncd YOUR_PROJECT_NAME\n"})}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.code,{children:"(venv)"})," prompt doesn't change, but ",(0,r.jsx)(n.code,{children:"uv"})," commands will automatically use the project's virtual environment."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Add OpenRAG to your project:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uv add openrag\n"})}),"\n",(0,r.jsx)(n.p,{children:"To add a specific version:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uv add openrag==0.1.30\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Start the OpenRAG TUI:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uv run openrag\n"})}),"\n"]}),"\n"]}),(0,r.jsxs)(i,{closed:!0,children:[(0,r.jsx)("summary",{children:"Install a local wheel"}),(0,r.jsx)(n.p,{children:"If you downloaded the OpenRAG wheel to your local machine, install it by specifying its path:"}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Add the wheel to your project:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uv add PATH/TO/openrag-VERSION-py3-none-any.whl\n"})}),"\n",(0,r.jsxs)(n.p,{children:["Replace ",(0,r.jsx)(n.code,{children:"PATH/TO/"})," and ",(0,r.jsx)(n.code,{children:"VERSION"})," with the path and version of your downloaded OpenRAG ",(0,r.jsx)(n.code,{children:".whl"})," file."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Run OpenRAG:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uv run openrag\n"})}),"\n"]}),"\n"]})]})]}),(0,r.jsxs)(o.A,{value:"uv-pip",label:"Existing virtual environment with uv pip install",children:[(0,r.jsxs)(n.p,{children:["Use ",(0,r.jsx)(n.code,{children:"uv pip install"})," to install OpenRAG into an existing virtual environment that isn't managed by ",(0,r.jsx)(n.code,{children:"uv"}),"."]}),(0,r.jsx)(n.admonition,{type:"tip",children:(0,r.jsxs)(n.p,{children:["For new projects, ",(0,r.jsx)(n.code,{children:"uv add"})," is recommended as it manages dependencies in your project's lockfile."]})}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Activate your virtual environment."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Install OpenRAG:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"uv pip install openrag\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Run OpenRAG:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"openrag\n"})}),"\n"]}),"\n"]})]})]}),"\n",(0,r.jsxs)(n.p,{children:["Continue with ",(0,r.jsx)(n.a,{href:"#setup",children:"Set up OpenRAG with the TUI"}),"."]}),"\n",(0,r.jsx)(n.h2,{id:"setup",children:"Set up OpenRAG with the TUI"}),"\n",(0,r.jsxs)(n.p,{children:["The TUI creates a ",(0,r.jsx)(n.code,{children:".env"})," file in your OpenRAG directory root and starts OpenRAG.\nIf the TUI detects a ",(0,r.jsx)(n.code,{children:".env"})," file in the OpenRAG root directory, it sources any variables from the ",(0,r.jsx)(n.code,{children:".env"})," file.\nIf the TUI detects OAuth credentials, it enforces the ",(0,r.jsx)(n.strong,{children:"Advanced Setup"})," path."]}),"\n",(0,r.jsxs)(l.A,{groupId:"Setup method",children:[(0,r.jsxs)(o.A,{value:"Basic setup",label:"Basic setup",default:!0,children:[(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Basic Setup"})," can generate all of the required values for OpenRAG. The OpenAI API key is optional and can be provided during onboarding.\n",(0,r.jsx)(n.strong,{children:"Basic Setup"})," does not set up OAuth connections for ingestion from cloud providers.\nFor OAuth setup, use ",(0,r.jsx)(n.strong,{children:"Advanced Setup"}),".\nFor information about the difference between basic (no auth) and OAuth in OpenRAG, see ",(0,r.jsx)(n.a,{href:"/knowledge#auth",children:"Authentication and document access"}),"."]}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To install OpenRAG with ",(0,r.jsx)(n.strong,{children:"Basic Setup"}),", click ",(0,r.jsx)(n.strong,{children:"Basic Setup"})," or press ",(0,r.jsx)("kbd",{children:"1"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Generate Passwords"})," to generate passwords for OpenSearch and Langflow."]}),"\n",(0,r.jsxs)(n.p,{children:["The OpenSearch password is required. The Langflow admin password is optional.\nIf no Langflow admin password is generated, Langflow runs in ",(0,r.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#langflow-auto-login",children:"autologin mode"})," with no password required."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Optional: Paste your OpenAI API key in the OpenAI API key field. You can also provide this during onboarding or choose a different model provider."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Save Configuration"}),".\nYour passwords are saved in the ",(0,r.jsx)(n.code,{children:".env"})," file used to start OpenRAG."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To start OpenRAG, click ",(0,r.jsx)(n.strong,{children:"Start All Services"}),".\nStartup pulls container images and runs them, so it can take some time.\nWhen startup is complete, the TUI displays the following:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"Services started successfully\nCommand completed successfully\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To start the Docling service, under ",(0,r.jsx)(n.strong,{children:"Native Services"}),", click ",(0,r.jsx)(n.strong,{children:"Start"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To open the OpenRAG application, navigate to the TUI main menu, and then click ",(0,r.jsx)(n.strong,{children:"Open App"}),".\nAlternatively, in your browser, navigate to ",(0,r.jsx)(n.code,{children:"localhost:3000"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Continue with ",(0,r.jsx)(n.a,{href:"#application-onboarding",children:"Application Onboarding"}),"."]}),"\n"]}),"\n"]})]}),(0,r.jsx)(o.A,{value:"Advanced setup",label:"Advanced setup",children:(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To install OpenRAG with ",(0,r.jsx)(n.strong,{children:"Advanced Setup"}),", click ",(0,r.jsx)(n.strong,{children:"Advanced Setup"})," or press ",(0,r.jsx)("kbd",{children:"2"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Generate Passwords"})," to generate passwords for OpenSearch and Langflow."]}),"\n",(0,r.jsxs)(n.p,{children:["The OpenSearch password is required. The Langflow admin password is optional.\nIf no Langflow admin password is generated, Langflow runs in ",(0,r.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#langflow-auto-login",children:"autologin mode"})," with no password required."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Paste your OpenAI API key in the OpenAI API key field."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Add your client and secret values for Google or Microsoft OAuth.\nThese values can be found with your OAuth provider.\nFor more information, see the ",(0,r.jsx)(n.a,{href:"https://developers.google.com/identity/protocols/oauth2",children:"Google OAuth client"})," or ",(0,r.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/graph-oauth",children:"Microsoft Graph OAuth client"})," documentation."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"The OpenRAG TUI presents redirect URIs for your OAuth app.\nThese are the URLs your OAuth provider will redirect back to after user sign-in.\nRegister these redirect values with your OAuth provider as they are presented in the TUI."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Save Configuration"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To start OpenRAG, click ",(0,r.jsx)(n.strong,{children:"Start All Services"}),".\nStartup pulls container images and runs them, so it can take some time.\nWhen startup is complete, the TUI displays the following:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"Services started successfully\nCommand completed successfully\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To start the Docling service, under ",(0,r.jsx)(n.strong,{children:"Native Services"}),", click ",(0,r.jsx)(n.strong,{children:"Start"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To open the OpenRAG application, navigate to the TUI main menu, and then click ",(0,r.jsx)(n.strong,{children:"Open App"}),".\nAlternatively, in your browser, navigate to ",(0,r.jsx)(n.code,{children:"localhost:3000"}),".\nYou are presented with your provider's OAuth sign-in screen.\nAfter sign-in, you are redirected to the redirect URI."]}),"\n",(0,r.jsx)(n.p,{children:"Two additional variables are available for Advanced Setup:"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.code,{children:"LANGFLOW_PUBLIC_URL"})," controls where the Langflow web interface can be accessed. This is where users interact with their flows in a browser."]}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.code,{children:"WEBHOOK_BASE_URL"})," controls where the endpoint for ",(0,r.jsx)(n.code,{children:"/connectors/CONNECTOR_TYPE/webhook"})," will be available.\nThis connection enables real-time document synchronization with external services.\nSupported webhook endpoints:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Google Drive: ",(0,r.jsx)(n.code,{children:"/connectors/google_drive/webhook"})]}),"\n",(0,r.jsxs)(n.li,{children:["OneDrive: ",(0,r.jsx)(n.code,{children:"/connectors/onedrive/webhook"})]}),"\n",(0,r.jsxs)(n.li,{children:["SharePoint: ",(0,r.jsx)(n.code,{children:"/connectors/sharepoint/webhook"})]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Continue with ",(0,r.jsx)(n.a,{href:"#application-onboarding",children:"Application Onboarding"}),"."]}),"\n"]}),"\n"]})})]}),"\n",(0,r.jsx)(a.Ay,{}),"\n",(0,r.jsx)(n.h2,{id:"close-the-openrag-tui",children:"Close the OpenRAG TUI"}),"\n",(0,r.jsxs)(n.p,{children:["To close the OpenRAG TUI, press ",(0,r.jsx)("kbd",{children:"q"}),".\nThe OpenRAG containers will continue to be served until the containers are stopped.\nFor more information, see ",(0,r.jsx)(n.a,{href:"#tui-container-management",children:"Manage OpenRAG containers with the TUI "}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["To start the TUI again, run ",(0,r.jsx)(n.code,{children:"uv run openrag"}),"."]}),"\n",(0,r.jsx)(n.h2,{id:"tui-container-management",children:"Manage OpenRAG containers with the TUI"}),"\n",(0,r.jsx)(n.p,{children:"After installation, the TUI can deploy, manage, and upgrade your OpenRAG containers."}),"\n",(0,r.jsx)(n.h3,{id:"start-all-services",children:"Start all services"}),"\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Start All Services"})," to start the OpenRAG containers.\nThe TUI automatically detects your container runtime, and then checks if your machine has compatible GPU support by checking for ",(0,r.jsx)(n.code,{children:"CUDA"}),", ",(0,r.jsx)(n.code,{children:"NVIDIA_SMI"}),", and Docker/Podman runtime support. This check determines which Docker Compose file OpenRAG uses.\nThe TUI then pulls the images and deploys the containers with the following command."]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"docker compose up -d\n"})}),"\n",(0,r.jsxs)(n.p,{children:["If images are missing, the TUI runs ",(0,r.jsx)(n.code,{children:"docker compose pull"}),", then runs ",(0,r.jsx)(n.code,{children:"docker compose up -d"}),"."]}),"\n",(0,r.jsx)(n.h3,{id:"status",children:"Status"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Status"})," menu displays information on your container deployment.\nHere you can check container health, find your service ports, view logs, and upgrade your containers."]}),"\n",(0,r.jsxs)(n.p,{children:["To view streaming logs, select the container you want to view, and press ",(0,r.jsx)("kbd",{children:"l"}),".\nTo copy your logs, click ",(0,r.jsx)(n.strong,{children:"Copy to Clipboard"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["To ",(0,r.jsx)(n.strong,{children:"upgrade"})," your containers, click ",(0,r.jsx)(n.strong,{children:"Upgrade"}),".\n",(0,r.jsx)(n.strong,{children:"Upgrade"})," runs ",(0,r.jsx)(n.code,{children:"docker compose pull"})," and then ",(0,r.jsx)(n.code,{children:"docker compose up -d --force-recreate"}),".\nThe first command pulls the latest images of OpenRAG.\nThe second command recreates the containers with your data persisted."]}),"\n",(0,r.jsxs)(n.p,{children:["To ",(0,r.jsx)(n.strong,{children:"reset"})," your containers, click ",(0,r.jsx)(n.strong,{children:"Reset"}),".\nReset gives you a completely fresh start.\nReset deletes all of your data, including OpenSearch data, uploaded documents, and authentication.\n",(0,r.jsx)(n.strong,{children:"Reset"})," runs two commands.\nIt first stops and removes all containers, volumes, and local images."]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"docker compose down --volumes --remove-orphans --rmi local\n"})}),"\n",(0,r.jsxs)(n.p,{children:["When the first command is complete, OpenRAG removes any additional Docker objects with ",(0,r.jsx)(n.code,{children:"prune"}),"."]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"docker system prune -f\n"})}),"\n",(0,r.jsx)(n.h3,{id:"native-services-status",children:"Native services status"}),"\n",(0,r.jsxs)(n.p,{children:["A ",(0,r.jsx)(n.em,{children:"native service"})," in OpenRAG refers to a service run locally on your machine, and not within a container.\nThe ",(0,r.jsx)(n.code,{children:"docling serve"})," process is a native service in OpenRAG, because it's a document processing service that is run on your local machine, and controlled separately from the containers."]}),"\n",(0,r.jsxs)(n.p,{children:["To start or stop ",(0,r.jsx)(n.code,{children:"docling serve"})," or any other native services, in the TUI Status menu, click ",(0,r.jsx)(n.strong,{children:"Stop"})," or ",(0,r.jsx)(n.strong,{children:"Restart"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["To view the status, port, or PID of a native service, in the TUI main menu, click ",(0,r.jsx)(n.a,{href:"#status",children:"Status"}),"."]}),"\n",(0,r.jsx)(n.h2,{id:"diagnostics",children:"Diagnostics"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Diagnostics"})," menu provides health monitoring for your container runtimes and monitoring of your OpenSearch security."]}),"\n",(0,r.jsx)(n.h2,{id:"reinstall",children:"Reinstall OpenRAG"}),"\n",(0,r.jsx)(n.p,{children:"To reinstall OpenRAG with a completely fresh setup:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Reset your containers using the ",(0,r.jsx)(n.strong,{children:"Reset"})," button in the ",(0,r.jsx)(n.a,{href:"#status",children:"TUI status"})," menu.\nThis removes all containers, volumes, and data."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Optional: Delete your project's ",(0,r.jsx)(n.code,{children:".env"})," file.\nThe Reset operation does not remove your project's ",(0,r.jsx)(n.code,{children:".env"})," file, so your passwords, API keys, and OAuth settings can be preserved.\nIf you delete the ",(0,r.jsx)(n.code,{children:".env"})," file, run the ",(0,r.jsx)(n.a,{href:"#setup",children:"Set up OpenRAG with the TUI"})," process again to create a new configuration."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In the TUI Setup menu, follow these steps from ",(0,r.jsx)(n.a,{href:"#setup",children:"Basic Setup"}),":"]}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(n.strong,{children:"Start All Services"})," to pull container images and start them."]}),"\n",(0,r.jsxs)(n.li,{children:["Under ",(0,r.jsx)(n.strong,{children:"Native Services"}),", click ",(0,r.jsx)(n.strong,{children:"Start"})," to start the Docling service."]}),"\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(n.strong,{children:"Open App"})," to open the OpenRAG application."]}),"\n",(0,r.jsxs)(n.li,{children:["Continue with ",(0,r.jsx)(n.a,{href:"#application-onboarding",children:"Application Onboarding"}),"."]}),"\n"]}),"\n"]}),"\n"]})]})}function x(e={}){const{wrapper:n}={...(0,t.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(u,{...e})}):u(e)}},5689:(e,n,s)=>{s.d(n,{A:()=>i});const i=s.p+"assets/images/OpenRAG_TUI_2025-09-10T13_04_11_757637-9441c53ba39162a88ac6c11cbeaed0e0.svg"}}]); \ No newline at end of file diff --git a/assets/js/e633a5ea.380cba07.js b/assets/js/e633a5ea.380cba07.js deleted file mode 100644 index d0848a30..00000000 --- a/assets/js/e633a5ea.380cba07.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkopenrag_docs=self.webpackChunkopenrag_docs||[]).push([[9172],{9359:(e,n,r)=>{r.r(n),r.d(n,{assets:()=>l,contentTitle:()=>a,default:()=>h,frontMatter:()=>o,metadata:()=>s,toc:()=>c});const s=JSON.parse('{"id":"get-started/what-is-openrag","title":"What is OpenRAG?","description":"OpenRAG is an open-source package for building agentic RAG systems that integrates with a wide range of orchestration tools, vector databases, and LLM providers.","source":"@site/docs/get-started/what-is-openrag.mdx","sourceDirName":"get-started","slug":"/","permalink":"/","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/get-started/what-is-openrag.mdx","tags":[],"version":"current","frontMatter":{"title":"What is OpenRAG?","slug":"/"},"sidebar":"tutorialSidebar","next":{"title":"Install OpenRAG with TUI","permalink":"/install"}}');var t=r(4848),i=r(8453);const o={title:"What is OpenRAG?",slug:"/"},a=void 0,l={},c=[{value:"OpenRAG architecture",id:"openrag-architecture",level:2},{value:"Performance expectations",id:"performance-expectations",level:2}];function d(e){const n={a:"a",code:"code",h2:"h2",li:"li",mermaid:"mermaid",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,i.R)(),...e.components};return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsx)(n.p,{children:"OpenRAG is an open-source package for building agentic RAG systems that integrates with a wide range of orchestration tools, vector databases, and LLM providers."}),"\n",(0,t.jsx)(n.p,{children:"OpenRAG connects and amplifies three popular, proven open-source projects into one powerful platform:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.a,{href:"https://docs.langflow.org",children:"Langflow"}),": Langflow is a versatile tool for building and deploying AI agents and MCP servers. It supports all major LLMs, vector databases, and a growing library of AI tools."]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.a,{href:"https://docs.opensearch.org/latest/",children:"OpenSearch"}),": OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite that makes it easy to ingest, search, visualize, and analyze data."]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.a,{href:"https://docling-project.github.io/docling/",children:"Docling"}),": Docling simplifies document processing, parsing diverse formats \u2014 including advanced PDF understanding \u2014 and providing seamless integrations with the gen AI ecosystem."]}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"OpenRAG builds on Langflow's familiar interface while adding OpenSearch for vector storage and Docling for simplified document parsing, with opinionated flows that serve as ready-to-use recipes for ingestion, retrieval, and generation from popular sources like Google Drive, OneDrive, and Sharepoint."}),"\n",(0,t.jsx)(n.p,{children:"What's more, every part of the stack is swappable. Write your own custom components in Python, try different language models, and customize your flows to build an agentic RAG system."}),"\n",(0,t.jsxs)(n.p,{children:["Ready to get started? ",(0,t.jsx)(n.a,{href:"/install",children:"Install OpenRAG"})," and then run the ",(0,t.jsx)(n.a,{href:"/quickstart",children:"Quickstart"})," to create a powerful RAG pipeline."]}),"\n",(0,t.jsx)(n.h2,{id:"openrag-architecture",children:"OpenRAG architecture"}),"\n",(0,t.jsxs)(n.p,{children:["OpenRAG deploys and orchestrates a lightweight, container-based architecture that combines ",(0,t.jsx)(n.strong,{children:"Langflow"}),", ",(0,t.jsx)(n.strong,{children:"OpenSearch"}),", and ",(0,t.jsx)(n.strong,{children:"Docling"})," into a cohesive RAG platform."]}),"\n",(0,t.jsx)(n.mermaid,{value:'%%{init: {\'theme\': \'dark\', \'flowchart\': {\'useMaxWidth\': false, \'width\': \'100%\'}}}%%\nflowchart LR\n %% Encapsulate the entire diagram in a rectangle with black background\n subgraph DiagramContainer["OpenRAG Architecture"]\n style DiagramContainer fill:#000000,stroke:#ffffff,color:white,stroke-width:2px\n\n %% Define subgraphs for the different sections\n subgraph LocalService["Local Service"]\n DoclingSrv[Docling Serve]\n style DoclingSrv fill:#a8d1ff,stroke:#0066cc,color:black,stroke-width:2px\n end\n\n subgraph Containers\n Backend["OpenRAG Backend"]\n style Backend fill:#e6ffe6,stroke:#006600,color:black,stroke-width:2px\n Langflow\n style Langflow fill:#e6ffe6,stroke:#006600,color:black,stroke-width:2px\n OpenSearch\n style OpenSearch fill:#e6ffe6,stroke:#006600,color:black,stroke-width:2px\n Frontend["OpenRAG Frontend"]\n style Frontend fill:#ffcc99,stroke:#ff6600,color:black,stroke-width:2px\n end\n\n subgraph ThirdParty["Third Party Services"]\n GoogleDrive["Google Drive"]\n style GoogleDrive fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px\n OneDrive\n style OneDrive fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px\n SharePoint["SharePoint"]\n style SharePoint fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px\n More[...]\n style More fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px\n end\n\n %% Define connections\n DoclingSrv --\x3e Backend\n GoogleDrive --\x3e Backend\n OneDrive --\x3e Backend\n SharePoint --\x3e Backend\n More --\x3e Backend\n Backend --\x3e Langflow\n Langflow <--\x3e OpenSearch\n Backend <--\x3e Frontend\n\n %% Style subgraphs\n style LocalService fill:#333333,stroke:#666666,color:white,stroke-width:2px\n style Containers fill:#444444,stroke:#666666,color:white,stroke-width:2px\n style ThirdParty fill:#333333,stroke:#666666,color:white,stroke-width:2px\n end'}),"\n",(0,t.jsxs)(n.p,{children:["The ",(0,t.jsx)(n.strong,{children:"OpenRAG Backend"})," is the central orchestration service that coordinates all other components."]}),"\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Langflow"})," provides a visual workflow engine for building AI agents, and connects to ",(0,t.jsx)(n.strong,{children:"OpenSearch"})," for vector storage and retrieval."]}),"\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Docling Serve"})," is a local document processing service managed by the ",(0,t.jsx)(n.strong,{children:"OpenRAG Backend"}),"."]}),"\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Third Party Services"})," like ",(0,t.jsx)(n.strong,{children:"Google Drive"})," connect to the ",(0,t.jsx)(n.strong,{children:"OpenRAG Backend"})," through OAuth authentication, allowing synchronication of cloud storage with the OpenSearch knowledge base."]}),"\n",(0,t.jsxs)(n.p,{children:["The ",(0,t.jsx)(n.strong,{children:"OpenRAG Frontend"})," provides the user interface for interacting with the system."]}),"\n",(0,t.jsx)(n.h2,{id:"performance-expectations",children:"Performance expectations"}),"\n",(0,t.jsx)(n.p,{children:"On a local VM with 7 vCPUs and 8\u202fGiB RAM, OpenRAG ingested approximately 5.03 GB across 1,083 files in about 42 minutes.\nThis equates to approximately 2.4 documents per second."}),"\n",(0,t.jsx)(n.p,{children:"You can generally expect equal or better performance on developer laptops and significantly faster on servers.\nThroughput scales with CPU cores, memory, storage speed, and configuration choices such as embedding model, chunk size and overlap, and concurrency."}),"\n",(0,t.jsx)(n.p,{children:"This test returned 12 errors (approximately 1.1%).\nAll errors were file\u2011specific, and they didn't stop the pipeline."}),"\n",(0,t.jsx)(n.p,{children:"Ingestion dataset:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Total files: 1,083 items mounted"}),"\n",(0,t.jsx)(n.li,{children:"Total size on disk: 5,026,474,862 bytes (approximately 5.03 GB)"}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"Hardware specifications:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Machine: Apple M4 Pro"}),"\n",(0,t.jsxs)(n.li,{children:["Podman VM:","\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:["Name: ",(0,t.jsx)(n.code,{children:"podman-machine-default"})]}),"\n",(0,t.jsxs)(n.li,{children:["Type: ",(0,t.jsx)(n.code,{children:"applehv"})]}),"\n",(0,t.jsx)(n.li,{children:"vCPUs: 7"}),"\n",(0,t.jsx)(n.li,{children:"Memory: 8 GiB"}),"\n",(0,t.jsx)(n.li,{children:"Disk size: 100 GiB"}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"Test results:"}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-text",children:"2025-09-24T22:40:45.542190Z /app/src/main.py:231 Ingesting default documents when ready disable_langflow_ingest=False\n2025-09-24T22:40:45.546385Z /app/src/main.py:270 Using Langflow ingestion pipeline for default documents file_count=1082\n...\n2025-09-24T23:19:44.866365Z /app/src/main.py:351 Langflow ingestion completed success_count=1070 error_count=12 total_files=1082\n"})}),"\n",(0,t.jsx)(n.p,{children:"Elapsed time: ~42 minutes 15 seconds (2,535 seconds)"}),"\n",(0,t.jsx)(n.p,{children:"Throughput: ~2.4 documents/second"})]})}function h(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(d,{...e})}):d(e)}}}]); \ No newline at end of file diff --git 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e.content?e.content:e.content.map(l).join(""):""};e.hooks.add("after-tokenize",function(e){"jsx"!==e.language&&"tsx"!==e.language||i(e.tokens)})}(_),function(e){var t=e.util.clone(e.languages.typescript);(t=(e.languages.tsx=e.languages.extend("jsx",t),delete e.languages.tsx.parameter,delete 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e.languages.kotlin["class-name"];var t={"interpolation-punctuation":{pattern:/^\$\{?|\}$/,alias:"punctuation"},expression:{pattern:/[\s\S]+/,inside:e.languages.kotlin}};e.languages.insertBefore("kotlin","string",{"string-literal":[{pattern:/"""(?:[^$]|\$(?:(?!\{)|\{[^{}]*\}))*?"""/,alias:"multiline",inside:{interpolation:{pattern:/\$(?:[a-z_]\w*|\{[^{}]*\})/i,inside:t},string:/[\s\S]+/}},{pattern:/"(?:[^"\\\r\n$]|\\.|\$(?:(?!\{)|\{[^{}]*\}))*"/,alias:"singleline",inside:{interpolation:{pattern:/((?:^|[^\\])(?:\\{2})*)\$(?:[a-z_]\w*|\{[^{}]*\})/i,lookbehind:!0,inside:t},string:/[\s\S]+/}}],char:{pattern:/'(?:[^'\\\r\n]|\\(?:.|u[a-fA-F0-9]{0,4}))'/,greedy:!0}}),delete e.languages.kotlin.string,e.languages.insertBefore("kotlin","keyword",{annotation:{pattern:/\B@(?:\w+:)?(?:[A-Z]\w*|\[[^\]]+\])/,alias:"builtin"}}),e.languages.insertBefore("kotlin","function",{label:{pattern:/\b\w+@|@\w+\b/,alias:"symbol"}}),e.languages.kt=e.languages.kotlin,e.languages.kts=e.languages.kotlin}(_),_.languages.c=_.languages.extend("clike",{comment:{pattern:/\/\/(?:[^\r\n\\]|\\(?:\r\n?|\n|(?![\r\n])))*|\/\*[\s\S]*?(?:\*\/|$)/,greedy:!0},string:{pattern:/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},"class-name":{pattern:/(\b(?:enum|struct)\s+(?:__attribute__\s*\(\([\s\S]*?\)\)\s*)?)\w+|\b[a-z]\w*_t\b/,lookbehind:!0},keyword:/\b(?:_Alignas|_Alignof|_Atomic|_Bool|_Complex|_Generic|_Imaginary|_Noreturn|_Static_assert|_Thread_local|__attribute__|asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|inline|int|long|register|return|short|signed|sizeof|static|struct|switch|typedef|typeof|union|unsigned|void|volatile|while)\b/,function:/\b[a-z_]\w*(?=\s*\()/i,number:/(?:\b0x(?:[\da-f]+(?:\.[\da-f]*)?|\.[\da-f]+)(?:p[+-]?\d+)?|(?:\b\d+(?:\.\d*)?|\B\.\d+)(?:e[+-]?\d+)?)[ful]{0,4}/i,operator:/>>=?|<<=?|->|([-+&|:])\1|[?:~]|[-+*/%&|^!=<>]=?/}),_.languages.insertBefore("c","string",{char:{pattern:/'(?:\\(?:\r\n|[\s\S])|[^'\\\r\n]){0,32}'/,greedy:!0}}),_.languages.insertBefore("c","string",{macro:{pattern:/(^[\t 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e.content?e.content:e.content.map(l).join(""):""};e.hooks.add("after-tokenize",function(e){"jsx"!==e.language&&"tsx"!==e.language||i(e.tokens)})}(_),function(e){var t=e.util.clone(e.languages.typescript);(t=(e.languages.tsx=e.languages.extend("jsx",t),delete e.languages.tsx.parameter,delete 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e.languages.kotlin["class-name"];var t={"interpolation-punctuation":{pattern:/^\$\{?|\}$/,alias:"punctuation"},expression:{pattern:/[\s\S]+/,inside:e.languages.kotlin}};e.languages.insertBefore("kotlin","string",{"string-literal":[{pattern:/"""(?:[^$]|\$(?:(?!\{)|\{[^{}]*\}))*?"""/,alias:"multiline",inside:{interpolation:{pattern:/\$(?:[a-z_]\w*|\{[^{}]*\})/i,inside:t},string:/[\s\S]+/}},{pattern:/"(?:[^"\\\r\n$]|\\.|\$(?:(?!\{)|\{[^{}]*\}))*"/,alias:"singleline",inside:{interpolation:{pattern:/((?:^|[^\\])(?:\\{2})*)\$(?:[a-z_]\w*|\{[^{}]*\})/i,lookbehind:!0,inside:t},string:/[\s\S]+/}}],char:{pattern:/'(?:[^'\\\r\n]|\\(?:.|u[a-fA-F0-9]{0,4}))'/,greedy:!0}}),delete e.languages.kotlin.string,e.languages.insertBefore("kotlin","keyword",{annotation:{pattern:/\B@(?:\w+:)?(?:[A-Z]\w*|\[[^\]]+\])/,alias:"builtin"}}),e.languages.insertBefore("kotlin","function",{label:{pattern:/\b\w+@|@\w+\b/,alias:"symbol"}}),e.languages.kt=e.languages.kotlin,e.languages.kts=e.languages.kotlin}(_),_.languages.c=_.languages.extend("clike",{comment:{pattern:/\/\/(?:[^\r\n\\]|\\(?:\r\n?|\n|(?![\r\n])))*|\/\*[\s\S]*?(?:\*\/|$)/,greedy:!0},string:{pattern:/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},"class-name":{pattern:/(\b(?:enum|struct)\s+(?:__attribute__\s*\(\([\s\S]*?\)\)\s*)?)\w+|\b[a-z]\w*_t\b/,lookbehind:!0},keyword:/\b(?:_Alignas|_Alignof|_Atomic|_Bool|_Complex|_Generic|_Imaginary|_Noreturn|_Static_assert|_Thread_local|__attribute__|asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|inline|int|long|register|return|short|signed|sizeof|static|struct|switch|typedef|typeof|union|unsigned|void|volatile|while)\b/,function:/\b[a-z_]\w*(?=\s*\()/i,number:/(?:\b0x(?:[\da-f]+(?:\.[\da-f]*)?|\.[\da-f]+)(?:p[+-]?\d+)?|(?:\b\d+(?:\.\d*)?|\B\.\d+)(?:e[+-]?\d+)?)[ful]{0,4}/i,operator:/>>=?|<<=?|->|([-+&|:])\1|[?:~]|[-+*/%&|^!=<>]=?/}),_.languages.insertBefore("c","string",{char:{pattern:/'(?:\\(?:\r\n|[\s\S])|[^'\\\r\n]){0,32}'/,greedy:!0}}),_.languages.insertBefore("c","string",{macro:{pattern:/(^[\t 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e={17896441:"8401",33362219:"9532",af920ffe:"98","0ba6a408":"571","22dd74f7":"1567",common:"2076","749371cc":"2272",eb5b356a:"2668",aba21aa0:"5742",d0314b07:"5750",ca2c3c0c:"6919",a7bd4aaa:"7098",c8078f0a:"9026",a94703ab:"9048",e633a5ea:"9172","5e95c892":"9647"}[e]||e,d.p+d.u(e)},(()=>{var e={5354:0,1869:0};d.f.j=(a,t)=>{var r=d.o(e,a)?e[a]:void 0;if(0!==r)if(r)t.push(r[2]);else if(/^(1869|5354)$/.test(a))e[a]=0;else{var o=new Promise((t,o)=>r=e[a]=[t,o]);t.push(r[2]=o);var n=d.p+d.u(a),c=new Error;d.l(n,t=>{if(d.o(e,a)&&(0!==(r=e[a])&&(e[a]=void 0),r)){var o=t&&("load"===t.type?"missing":t.type),n=t&&t.target&&t.target.src;c.message="Loading chunk "+a+" failed.\n("+o+": "+n+")",c.name="ChunkLoadError",c.type=o,c.request=n,r[1](c)}},"chunk-"+a,a)}},d.O.j=a=>0===e[a];var a=(a,t)=>{var r,o,n=t[0],c=t[1],f=t[2],i=0;if(n.some(a=>0!==e[a])){for(r in c)d.o(c,r)&&(d.m[r]=c[r]);if(f)var b=f(d)}for(a&&a(t);i -Install OpenRAG containers | OpenRAG - - +Install OpenRAG containers | OpenRAG + + -

    Install OpenRAG containers

    OpenRAG has two Docker Compose files. Both files deploy the same applications and containers locally, but they are for different environments.

    +

    Install OpenRAG containers

    OpenRAG has two Docker Compose files. Both files deploy the same applications and containers locally, but they are for different environments.

    • docker-compose.yml is an OpenRAG deployment with GPU support for accelerated AI processing. This Docker Compose file requires an NVIDIA GPU with CUDA support.

      @@ -26,7 +26,7 @@
    • Install uv
    • Install Podman (recommended) or Docker
    • Install Docker Compose. If using Podman, use podman-compose or alias Docker compose commands to Podman commands.
      • -
    • Create an OpenAI API key. This key is required to start OpenRAG, but you can choose a different model provider during Application Onboarding.
      • +
    • Optional: Create an OpenAI API key. You can provide this key during Application Onboarding or choose a different model provider.
    • Optional: Install GPU support with an NVIDIA GPU, CUDA support, and compatible NVIDIA drivers on the OpenRAG host machine. If you don't have GPU capabilities, OpenRAG provides an alternate CPU-only deployment.

    Install OpenRAG with Docker Compose​

    @@ -48,11 +48,13 @@ The example file includes all environment variables with comments to guide you i 
    touch .env
  • -

    The Docker Compose files are populated with the values from your .env file. The following values must be set:

    -
    OPENSEARCH_PASSWORD=your_secure_password
    OPENAI_API_KEY=your_openai_api_key
    LANGFLOW_SECRET_KEY=your_secret_key
    -

    OPENSEARCH_PASSWORD can be automatically generated when using the TUI, but for a Docker Compose installation, you can set it manually instead. To generate an OpenSearch admin password, see the OpenSearch documentation.

    -

    The OPENAI_API_KEY is found in your OpenAI account.

    -

    LANGFLOW_SECRET_KEY is automatically generated when using the TUI, and Langflow will also auto-generate it if not set. For more information, see the Langflow documentation.

    +

    The Docker Compose files are populated with the values from your .env file. +The OPENSEARCH_PASSWORD value must be set. +OPENSEARCH_PASSWORD can be automatically generated when using the TUI, but for a Docker Compose installation, you can set it manually instead. To generate an OpenSearch admin password, see the OpenSearch documentation.

    +

    The following values are optional:

    +
    OPENAI_API_KEY=your_openai_api_key
    LANGFLOW_SECRET_KEY=your_secret_key
    +

    OPENAI_API_KEY is optional. You can provide it during Application Onboarding or choose a different model provider. If you want to set it in your .env file, you can find your OpenAI API key in your OpenAI account.

    +

    LANGFLOW_SECRET_KEY is optional. Langflow will auto-generate it if not set. For more information, see the Langflow documentation.

    The following Langflow configuration values are optional but important to consider:

    LANGFLOW_SUPERUSER=admin
    LANGFLOW_SUPERUSER_PASSWORD=your_langflow_password

    LANGFLOW_SUPERUSER defaults to admin. You can omit it or set it to a different username. LANGFLOW_SUPERUSER_PASSWORD is optional. If omitted, Langflow runs in autologin mode with no password required. If set, Langflow requires password authentication.

    @@ -93,8 +95,7 @@ This enables 
    uv run python scripts/docling_ctl.py stop

    • Application onboarding​

    -

    The first time you start OpenRAG, whether using the TUI or a .env file, it's recommended that you complete application onboarding.

    -

    To skip onboarding, click Skip onboarding.

    +

    The first time you start OpenRAG, whether using the TUI or a .env file, you must complete application onboarding.

    warning

    Most values from onboarding can be changed later in the OpenRAG Settings page, but there are important restrictions.

    The language model provider and embeddings model provider can only be selected at onboarding. To change your provider selection later, you must reinstall OpenRAG.

    You must use the same provider for your language model and embedding model, unless you're using Ollama.

    Choose one LLM provider and complete only those steps:

    @@ -105,7 +106,8 @@ Alternatively, paste an OpenAI API key into the field.
  • To load 2 sample PDFs, enable Sample dataset. This is recommended, but not required.
  • Click Complete.
    • -
  • To complete the onboarding tasks, click What is OpenRAG, and then click Add a Document.
    • +
  • To complete the onboarding tasks, click What is OpenRAG, and then click Add a Document. +Alternatively, click Skip overview.
  • Continue with the Quickstart.

    • Container management commands​

    @@ -142,7 +146,7 @@ Documents stored in the ./documents directory will persist, since t

    Remove all containers and data (destructive)​

    Completely remove your OpenRAG installation and delete all data. This deletes all of your data, including OpenSearch data, uploaded documents, and authentication.

    -
    docker compose down --volumes --remove-orphans --rmi local
    docker system prune -f
    • © 2025 OpenRAG
    diff --git a/index.html b/index.html index a208025c..25b9a52d 100644 --- a/index.html +++ b/index.html @@ -4,14 +4,14 @@ What is OpenRAG? | OpenRAG - - + + -

    What is OpenRAG?

    OpenRAG is an open-source package for building agentic RAG systems that integrates with a wide range of orchestration tools, vector databases, and LLM providers.

    +

    What is OpenRAG?

    OpenRAG is an open-source package for building agentic RAG systems that integrates with a wide range of orchestration tools, vector databases, and LLM providers.

    OpenRAG connects and amplifies three popular, proven open-source projects into one powerful platform:

    • @@ -63,7 +63,7 @@ All errors were file‑specific, and they didn't stop the pipeline.

      Test results:

      2025-09-24T22:40:45.542190Z /app/src/main.py:231 Ingesting default documents when ready disable_langflow_ingest=False
      2025-09-24T22:40:45.546385Z /app/src/main.py:270 Using Langflow ingestion pipeline for default documents file_count=1082
      ...
      2025-09-24T23:19:44.866365Z /app/src/main.py:351 Langflow ingestion completed success_count=1070 error_count=12 total_files=1082

      Elapsed time: ~42 minutes 15 seconds (2,535 seconds)

      -

      Throughput: ~2.4 documents/second

    • © 2025 OpenRAG
    diff --git a/ingestion/index.html b/ingestion/index.html index cf32122b..c549b88a 100644 --- a/ingestion/index.html +++ b/ingestion/index.html @@ -4,14 +4,14 @@ Docling in OpenRAG | OpenRAG - - + + -

    Docling in OpenRAG

    OpenRAG uses Docling for document ingestion. +

    Docling in OpenRAG

    OpenRAG uses Docling for document ingestion. More specifically, OpenRAG uses Docling Serve, which starts a docling serve process on your local machine and runs Docling ingestion through an API service.

    Docling ingests documents from your local machine or OAuth connectors, splits them into chunks, and stores them as separate, structured documents in the OpenSearch documents index.

    OpenRAG chose Docling for its support for a wide variety of file formats, high performance, and advanced understanding of tables and images.

    diff --git a/install/index.html b/install/index.html index b63773e7..fe9ac661 100644 --- a/install/index.html +++ b/install/index.html @@ -4,26 +4,26 @@ Install OpenRAG with TUI | OpenRAG - - + + -

    Install OpenRAG with TUI

    Install OpenRAG and then run the OpenRAG Terminal User Interface(TUI) to start your OpenRAG deployment with a guided setup process.

    +

    Install OpenRAG with TUI

    Install OpenRAG and then run the OpenRAG Terminal User Interface(TUI) to start your OpenRAG deployment with a guided setup process.

    The OpenRAG Terminal User Interface (TUI) allows you to set up, configure, and monitor your OpenRAG deployment directly from the terminal.

    OpenRAG TUI Interface

    Instead of starting OpenRAG using Docker commands and manually editing values in the .env file, the TUI walks you through the setup. It prompts for variables where required, creates a .env file for you, and then starts OpenRAG.

    Once OpenRAG is running, use the TUI to monitor your application, control your containers, and retrieve logs.

    -

    If you prefer running Podman or Docker containers and manually editing .env files, see Install OpenRAG Containers.

    +

    If you prefer running Podman or Docker containers and manually editing .env files, see Install OpenRAG Containers.

    Prerequisites​

    Install OpenRAG​

    @@ -99,7 +99,7 @@

    The TUI creates a .env file in your OpenRAG directory root and starts OpenRAG. If the TUI detects a .env file in the OpenRAG root directory, it sources any variables from the .env file. If the TUI detects OAuth credentials, it enforces the Advanced Setup path.

    -

    Basic Setup can generate all of the required values for OpenRAG except the OpenAI API key. +

    Basic Setup can generate all of the required values for OpenRAG. The OpenAI API key is optional and can be provided during onboarding. Basic Setup does not set up OAuth connections for ingestion from cloud providers. For OAuth setup, use Advanced Setup. For information about the difference between basic (no auth) and OAuth in OpenRAG, see Authentication and document access.

      @@ -112,7 +112,7 @@ For information about the difference between basic (no auth) and OAuth in OpenRA If no Langflow admin password is generated, Langflow runs in autologin mode with no password required.

    1. -

      Paste your OpenAI API key in the OpenAI API key field.

      +

      Optional: Paste your OpenAI API key in the OpenAI API key field. You can also provide this during onboarding or choose a different model provider.

    2. Click Save Configuration. @@ -189,8 +189,7 @@ Supported webhook endpoints:

    Application onboarding​

    -

    The first time you start OpenRAG, whether using the TUI or a .env file, it's recommended that you complete application onboarding.

    -

    To skip onboarding, click Skip onboarding.

    +

    The first time you start OpenRAG, whether using the TUI or a .env file, you must complete application onboarding.

    warning

    Most values from onboarding can be changed later in the OpenRAG Settings page, but there are important restrictions.

    The language model provider and embeddings model provider can only be selected at onboarding. To change your provider selection later, you must reinstall OpenRAG.

    You must use the same provider for your language model and embedding model, unless you're using Ollama.

    Choose one LLM provider and complete only those steps:

    @@ -201,7 +200,8 @@ Alternatively, paste an OpenAI API key into the field.
  • To load 2 sample PDFs, enable Sample dataset. This is recommended, but not required.
  • Click Complete.
    • -
  • To complete the onboarding tasks, click What is OpenRAG, and then click Add a Document.
    • +
  • To complete the onboarding tasks, click What is OpenRAG, and then click Add a Document. +Alternatively, click Skip overview.
  • Continue with the Quickstart.

    • Close the OpenRAG TUI​

    @@ -282,7 +284,7 @@ If you delete the .env file, run the Set
  • Continue with Application Onboarding.
    • -
    • © 2025 OpenRAG
    diff --git a/knowledge/index.html b/knowledge/index.html index e47bb327..c81130c4 100644 --- a/knowledge/index.html +++ b/knowledge/index.html @@ -4,14 +4,14 @@ OpenSearch in OpenRAG | OpenRAG - - + + -

    OpenSearch in OpenRAG

    OpenRAG uses OpenSearch for its vector-backed knowledge store. +

    OpenSearch in OpenRAG

    OpenRAG uses OpenSearch for its vector-backed knowledge store. This is a specialized database for storing and retrieving embeddings, which helps your Agent efficiently find relevant information. OpenSearch provides powerful hybrid search capabilities with enterprise-grade security and multi-tenancy support.

    Authentication and document access​

    diff --git a/quickstart/index.html b/quickstart/index.html index 19b348ad..f008ba8f 100644 --- a/quickstart/index.html +++ b/quickstart/index.html @@ -4,18 +4,62 @@ Quickstart | OpenRAG - - + + -

    Quickstart

    Get started with OpenRAG by loading your knowledge, swapping out your language model, and then chatting with the Langflow API.

    +

    Quickstart

    Get started with OpenRAG by loading your knowledge, swapping out your language model, and then chatting with the Langflow API.

    Prerequisites​

    -
      -
    • Install and start OpenRAG with the TUI or Docker
      • -
    +
    tip

    This quickstart uses a minimal setup to demonstrate OpenRAG's core functionality. After you complete the quickstart, it is recommended that you reinstall OpenRAG with your preferred configuration because some settings are immutable after initial setup. For all installation options, see Install OpenRAG with TUI and Install OpenRAG with containers.

    +

    Install OpenRAG with the automatic installer. +The script detects and installs uv, Docker/Podman, and Docker Compose prerequisites, and then starts OpenRAG with uvx.

    +
      +
    1. +

      Create a directory to store the OpenRAG configuration files:

      +
      mkdir openrag-workspace
      cd openrag-workspace
      +
      2. +
    2. +

      Run the installer:

      +
      curl -fsSL https://docs.openr.ag/files/run_openrag_with_prereqs.sh | bash
      +

      The TUI creates a .env file and docker-compose files in the current working directory, and then starts OpenRAG.

      +
      3. +
    3. +

      Select Basic Setup.

      +
      4. +
    4. +

      To generate a password for OpenSearch, click Generate Passwords. +The other fields aren't required.

      +
      5. +
    5. +

      To start OpenRAG, click Start All Services. +Startup pulls container images and runs them, so it can take some time. +When startup is complete, the TUI displays the following:

      +
      Services started successfully
      Command completed successfully
      +
      6. +
    6. +

      To open the OpenRAG application, navigate to the TUI main menu, and then click Open App. +Alternatively, in your browser, navigate to localhost:3000.

      +
      7. +
    7. +

      For your model provider, select OpenAI.

      +
      8. +
    8. +

      In the OpenAI API key field, paste your OpenAI API key. +The default model settings are fine for the quickstart.

      +
      9. +
    9. +

      To confirm your provider settings, click Complete.

      +
      10. +
    10. +

      To complete onboarding, click What is OpenRAG, and then click Add a document. +Alternatively, click Skip overview.

      +
      11. +
    +

    To quit OpenRAG, navigate to the TUI main menu and press q. +To start OpenRAG again, run uvx openrag.

    Load and chat with your own documents​

    1. In OpenRAG, click Chat. @@ -48,7 +92,7 @@ This is helpful for troubleshooting when the agent isn't responding as expe

      1. To edit the Agent's behavior, click Edit in Langflow. -You can more quickly access the Language Model and Agent Instructions fields in this page, but for illustration purposes, navigate to the Langflow visual builder. +You can more quickly access these parameters in the Language model and Agent Instructions fields in this page, but for illustration purposes, navigate to the Langflow visual builder. To revert the flow to its initial state, click Restore flow.

      2. @@ -106,7 +150,7 @@ To retrieve the code snippet, click Share, and then click
      3. The Langflow Quickstart extends this example with extracting fields from the response.
      4. Get started with the Langflow API
        5. -
    • © 2025 OpenRAG
    diff --git a/reference/configuration/index.html b/reference/configuration/index.html index 75357e11..0e20f38e 100644 --- a/reference/configuration/index.html +++ b/reference/configuration/index.html @@ -4,14 +4,14 @@ Environment variables | OpenRAG - - + + -

    Environment variables

    OpenRAG recognizes environment variables from the following sources:

    +

    Environment variables

    OpenRAG recognizes environment variables from the following sources:

    • Environment variables - Values set in the .env file.
    • Langflow runtime overrides - Langflow components may tweak environment variables at runtime.
      • @@ -48,7 +48,7 @@

      AI provider settings​

      Configure which AI models and providers OpenRAG uses for language processing and embeddings. For more information, see Application onboarding.

      -
      VariableDefaultDescription
      EMBEDDING_MODELtext-embedding-3-smallEmbedding model for vector search.
      LLM_MODELgpt-4o-miniLanguage model for the chat agent.
      MODEL_PROVIDERopenaiModel provider, such as OpenAI or IBM watsonx.ai.
      OPENAI_API_KEY-Your OpenAI API key. Required.
      PROVIDER_API_KEY-API key for the model provider.
      PROVIDER_ENDPOINT-Custom provider endpoint. Only used for IBM or Ollama providers.
      PROVIDER_PROJECT_ID-Project ID for providers. Only required for the IBM watsonx.ai provider.
      +
      VariableDefaultDescription
      EMBEDDING_MODELtext-embedding-3-smallEmbedding model for vector search.
      LLM_MODELgpt-4o-miniLanguage model for the chat agent.
      MODEL_PROVIDERopenaiModel provider, such as OpenAI or IBM watsonx.ai.
      OPENAI_API_KEY-Your OpenAI API key. Optional. Can be provided during application onboarding when installing OpenRAG.
      PROVIDER_API_KEY-API key for the model provider.
      PROVIDER_ENDPOINT-Custom provider endpoint. Only used for IBM or Ollama providers.
      PROVIDER_PROJECT_ID-Project ID for providers. Only required for the IBM watsonx.ai provider.

      Document processing​

      Control how OpenRAG processes and ingests documents into your knowledge base. For more information, see Ingestion.

      diff --git a/support/troubleshoot/index.html b/support/troubleshoot/index.html index 7688e690..66cc3b69 100644 --- a/support/troubleshoot/index.html +++ b/support/troubleshoot/index.html @@ -4,14 +4,14 @@ Troubleshooting | OpenRAG - - + + -

      Troubleshooting

      This page provides troubleshooting advice for issues you might encounter when using OpenRAG or contributing to OpenRAG.

      +

      Troubleshooting

      This page provides troubleshooting advice for issues you might encounter when using OpenRAG or contributing to OpenRAG.

      OpenSearch fails to start​

      Check that OPENSEARCH_PASSWORD set in Environment variables meets requirements. The password must contain at least 8 characters, and must contain at least one uppercase letter, one lowercase letter, one digit, and one special character that is strong.