OpenRAG Hosting Live In 5 Minutes

Deploy OpenRAG on xCloud and get OpenRAG hosting for a self-hosted RAG platform where your team uploads documents, then searches and chats with them. xCloud runs the pinned images with OpenSearch as the knowledge base, a Langflow editor for the ingestion and chat flows and a Docling parser, generates the credentials, mounts persistent volumes and publishes both web UIs over HTTPS.

Deploy your OpenRAG

No terminal
No technical skills needed
No lock-in, cancel anytime

What is OpenRAG?

OpenRAG is a self-hosted RAG platform, short for retrieval-augmented generation, for document search and AI-powered conversations. A self-hosted OpenRAG lets you upload, process and query documents through a chat interface backed by large language models and semantic search, in place of pasting files into a hosted assistant such as ChatGPT. Upstream builds it with FastAPI and Next.js, powered by OpenSearch, Langflow and Docling, under the Apache-2.0 licence.

On xCloud the install runs OpenRAG 0.8.0 as five containers: frontend and backend, OpenSearch, Docling and Langflow, with official images pinned by digest. Only the OpenRAG and Langflow web UIs are public; seven named volumes hold the index, database, keys, uploads and flows. The template adds HTTP Basic with a generated password in front of OpenRAG, which has no login of its own by default.

From Sign-Up to a Live Knowledge Base In Just 3 Easy Steps

An OpenRAG stack normally means a search cluster, a flow engine, a document parser, a backend, a frontend, generated secrets, volumes, domains and certificates before the first upload. This is the same result without assembling any of it.

Step 01
Sign Up
Create your xCloud account and pick OpenRAG from the OneClick catalog. Choose one domain for the OpenRAG UI and one for the Langflow editor — there are no extra fields to fill in.
Step 02
We Deploy It For You
One click. We bring up the pinned OpenRAG frontend and backend, OpenSearch, Docling and Langflow, keep OpenSearch, Docling and the backend private, mount seven named volumes, generate the passwords and publish both UIs over HTTPS. Allow 10 to 15 minutes for the first start.
Step 03
Pick A Model And Upload
Save the OpenRAG and Langflow usernames and passwords from the installation credentials, open your HTTPS OpenRAG URL and sign in. Choose a model provider and enter its API key on the onboarding screen, then upload your first document and ask it a question.

Everything OpenRAG Does, On Your Own Server

OpenRAG runs in full here: a web UI for uploading, searching and chatting with documents, with the flows behind it open to edit.

Search And Chat Over Your Documents
Upload documents, then search them or chat with them from one web UI backed by large language models and semantic search.
Editable Langflow Flows
Ingestion and chat run as Langflow flows you can open and edit in the bundled Langflow editor, which has its own login.
Docling Document Parsing
Documents are parsed by a bundled Docling service and indexed in OpenSearch, which handles messy real-world files.
Your Choice Of Model Provider
Pick a provider such as OpenAI, Anthropic or Ollama during onboarding. Hosted providers need your own API key.
Protected By A Generated Login
OpenRAG has no login of its own by default, so the template puts HTTP Basic with a generated password in front of it. Optional Google sign-in can be enabled in the Environment editor.
OpenSearch Knowledge Base
Your index, database, configuration, signing keys, uploads, flows and Langflow data each live on a persistent named volume.

Everything You Need To Run Your Document Search 24/7

Managed hosting for OpenRAG, so the parts that keep it online are not your problem.

OpenRAG 0.8.0 deployed instantly
Official images pinned by digest
Passwords generated for you
OpenSearch, Docling and backend kept private
Free SSL certificate
Server backups and snapshots
Server security updates included
30+ server locations
Unused balance refunded

What You Can Do With OpenRAG

Ask questions of internal documents
Upload files once, then search them or chat with them from one web UI instead of digging through shared folders for the right page.
Keep the knowledge base on your server
Your index, uploads, signing keys and configuration sit on volumes on a Cloud VPS you control, and you decide which model provider answers each question.
Tune how retrieval works
Open the bundled Langflow editor to adjust the ingestion and chat flows, such as how documents are processed, instead of treating retrieval as a black box.
Run local models with Ollama
Point OpenRAG at an Ollama endpoint during onboarding so a team can answer from models it hosts itself; hosted providers still need your own API key.

OpenRAG Screenshots

OpenRAG onboarding screen where a model provider is chosen

OpenRAG chat answering a question over uploaded documents

OpenRAG vs Alternatives

ChatGPT: ChatGPT is a hosted assistant. As a ChatGPT alternative for your own files, OpenRAG keeps the knowledge base, uploads and flows on your server and lets you pick the model provider during onboarding.
RAGFlow: In an OpenRAG vs RAGFlow comparison, RAGFlow has its own OneClick page. It is an open-source RAG engine that builds a context layer from your documents using deep document understanding.
AnythingLLM: AnythingLLM has its own OneClick page. It is an all-in-one self-hosted AI workspace for chatting with your own documents and building RAG knowledge bases.
Langflow: Langflow has its own OneClick page. It is a low-code visual builder for AI agents and RAG workflows; OpenRAG already bundles it as the engine behind its ingestion and chat flows.

Simple Pricing. Everything Included.

Dedicated Cloud VPS sizes, pre-configured for OpenRAG hosting. OpenRAG's baseline asks for 8192 MB of RAM, so the 16 GB size is the entry rung here.

Cloud VPS 16 GB

Already Have a Server? Bring Your Own

Connect any VPS — DigitalOcean, Vultr, Linode, AWS, Hetzner or bare metal — and deploy OpenRAG on it through the same panel, for a per-server management fee instead of a Cloud VPS rental.

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Priced per connected server, so your rate adjusts automatically as you add or remove servers. You pay your own provider for the server itself.

Self-managed hosting

Ready To Run Your Own Document Search?

OpenRAG on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Own the server. Stay in control.

Fast Provisioning
Deploy faster using an xCloud Managed Server built with optimized stacks and high-speed SSDs.
Enterprise-grade security
Protect your infrastructure with a free SSL certificate and more advanced security features at no additional cost.
Intuitive Control Panel
From Server creation to application deployment, everything can be managed from our intuitive control panel.

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Frequently Asked Questions

Feel free to contact us with any questions or concerns you may have.

Can you self-host OpenRAG with Docker?

Yes, and this template is OpenRAG Docker hosting without the setup. Upstream documents Docker or Podman for self-managed services; here xCloud runs the pinned frontend, backend, OpenSearch, Docling and Langflow containers, adds seven volumes and generated secrets, and publishes two HTTPS domains.

How much RAM does OpenRAG need?

The template asks for 8192 MB of RAM, 4 CPU cores and 40 GB of disk, and measured idle use in QA was about 5 GB. That is why this page sells the 16 GB plan as the entry rung. Large documents ingest slowly on CPU.

Is OpenRAG public by default?

No. OpenRAG has no login of its own unless Google sign-in is configured, so this template puts HTTP Basic with a generated password in front of the OpenRAG domain. Everyone who signs in shares one document pool, and the Langflow editor has its own administrator login.

Which model providers does OpenRAG support?

You pick one during onboarding, such as OpenAI, Anthropic or Ollama, and the template also passes IBM watsonx settings through. Hosted providers need your own API key. QA drove an Ollama sidecar only, so hosted-provider runs were not verified.

Why does the first OpenRAG start take so long?

The first start pulls five images, several gigabytes in total including a PyTorch-bearing Langflow image, and creates the search index. Allow 10 to 15 minutes before the page responds. Sample documents are also indexed during onboarding by default.

How large can an OpenRAG upload be?

The web proxy accepts uploads up to 512 MB per request, and upstream documents no per-file cap. Uploads are buffered in memory, and large files ingest slowly on CPU, especially with OCR, so very large files need more RAM and patience.

What should I back up on an OpenRAG server?

Back up all seven volumes together: opensearch_data, openrag_data, openrag_config, openrag_keys, openrag_documents, openrag_flows and langflow_data. The keys and flows volumes are needed to read the rest. Do not edit the OpenSearch or Langflow passwords after install, and keep them private.

Backups in xCloud

How do I upgrade OpenRAG?

The install stays on its pinned 0.8.0 images until you adopt a newer template version. Back up the volumes first and read the upstream release notes. The flows volume is seeded from the image at first start, so flows shipped by this release stay pinned to it.

Is OpenRAG free?

Yes. OpenRAG is open source under the Apache-2.0 licence, so the application itself is free to run. The costs on this page are the Cloud VPS, plus your own usage at any hosted model provider you connect, which xCloud does not bill.

Is OpenRAG an alternative to RAGFlow?

They overlap: both let you build a document knowledge base and chat with it. OpenRAG packages Langflow flows, OpenSearch and Docling together, while RAGFlow is its own engine with deep document understanding. Both have OneClick pages, so you can compare them on the same server size.

Is this OpenRAG cloud hosting?

In the sense that it runs on a Cloud VPS of your own, yes. xCloud provisions the server and deploys the open-source containers on it, so the knowledge base, uploads and flows stay on your server, and you keep the application and its data.

Can I cancel anytime?

Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.