Onyx hosting

Search and chat across every tool your company already uses.

Agents & RAGMIT (core)from $27.99/mo
In short

Onyx hosting at AIHostBox means a dedicated, single-tenant Onyx instance on our infrastructure: we install it, pin it to a reviewed release, put it behind TLS on your domain, back it up nightly and keep it patched. Plans start at $27.99 per month and the admin account, the data and any API keys are yours.

40+ connectorsPermission-awareCitationsSlack botAssistants

Onyx, which started life as Danswer, is an open-source AI platform that pairs a chat assistant with enterprise search over your own tools. Its connectors index wikis, ticketing systems, shared drives and chat history from more than 50 applications into a hybrid keyword and vector index, and answers cite the passages they came from. Agents and actions, including MCP tools, sit on top, and it works with the major hosted LLM providers or with self-hosted models.

That breadth is why it is a server application. The standard deployment runs around ten containers: the API server and background workers, a web front-end, two model servers (one for indexing, one for queries), Postgres, OpenSearch, Redis, MinIO and nginx. The background workers re-sync connectors on a schedule, which a laptop that sleeps cannot do. The Community Edition is MIT-licensed; SSO, RBAC, usage analytics and query history belong to the separately licensed Enterprise Edition.

Onyx hosting plans

ProAbove the 10 GB upstream minimum
12 GB RAM · 6 vCPU · NVMe
$27.99/mo
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MaxMany connectors & large indexes
16 GB RAM · 8 vCPU · NVMe
$36.99/mo
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Every plan is a dedicated single-tenant instance with NVMe storage, nightly off-box backups, TLS and managed patching. Quarterly, semi-annual and annual terms are discounted at checkout. Model tokens are not included — you bring your own key.

How we run Onyx

Onyx’s official Docker Compose stack: api_server and background workers from the onyx-backend image, the web_server, separate inference and indexing model servers, Postgres, OpenSearch, Redis, MinIO for file storage and nginx in front.

What we configure for you

  • AUTH_TYPE=basic with your first admin account created
  • SMTP settings so invitations and password resets are delivered
  • Your LLM provider key, or an Ollama or OpenAI-compatible endpoint, in the admin panel
  • FILE_STORE_BACKEND=s3 pointed at the bundled MinIO
  • Connector credentials (Confluence, Google Drive, Slack, Jira and others) added with you on the first sync
  • Embedding model choice, including a hosted embedding provider to lighten the model servers

Which plan fits

Onyx documents 10 GB of RAM as the minimum for its standard, connector-indexing mode, so both plans start above it. Pro (12 GB, 6 vCPU) suits a team with a handful of connectors; Max (16 GB, 8 vCPU) gives OpenSearch and the two model servers room for several large sources syncing at once.

The honest limits

SSO, RBAC and analytics are Enterprise Edition only. The first full index of a large wiki or drive can take hours on CPU, because embeddings are computed on the same cores that serve queries unless you use a hosted embedding model.

What people run Onyx for

Internal answer engine

Stop asking colleagues where a document lives.

Support deflection

Answer repeat questions from the existing knowledge base.

Slack answer bot

Let colleagues ask in a channel and get cited answers without opening another tool.

Agents with company context

Build assistants that search indexed sources and call actions or MCP tools in one conversation.

Licence and version policy

ItemPosition
Upstream licenceMIT (core)
Sold as managed hostingYes
TenancySingle tenant — one customer per instance
PatchingCritical advisories within 24 hours, high severity within 72

Our full position on licences, including the applications we decline to sell, is on the licensing page.

Works well with Onyx

More Agents & RAG we host

Questions

Onyx hosting: your questions

Which LLMs can Onyx use?
The major hosted providers, such as OpenAI, Anthropic, Azure OpenAI, Bedrock and Vertex, with your own key, or a self-hosted model through Ollama or any OpenAI-compatible endpoint. On our CPU plans we recommend a hosted model for answer quality; Onyx’s own model servers handle embedding and search, not answer generation.
Does the Community Edition include SSO?
No. In Onyx’s split, single sign-on through Google OAuth, OIDC or SAML, SCIM provisioning, RBAC, usage analytics and query history are Enterprise Edition features. The MIT Community Edition we deploy uses email and password accounts (AUTH_TYPE=basic), which suits small teams; organisations that need SSO should licence EE from Onyx.
How much disk does indexing use?
Onyx’s sizing guide suggests about 32 GB plus roughly 2.5 times the size of the data you index. OpenSearch also switches indices to read-only when disk usage reaches its 95% flood-stage watermark, so check the size of a large drive or wiki with us before connecting it.
What is backed up in an Onyx instance?
Postgres holds users, settings, connector credentials and chat history; MinIO holds uploaded files; OpenSearch holds the search index. All three are in the nightly off-box backup. If the index ever had to be rebuilt, re-running the connectors recreates it from your sources, which is slower than a restore but loses nothing.
Can I move an existing self-hosted Onyx or Danswer install here?
Yes. We restore your Postgres dump and file store onto the same image version, then let migrations bring it forward. Re-indexing into OpenSearch is usually simpler than moving the index, and it is the only route from older Danswer releases, which used Vespa as their search engine.

Run Onyx without running a server

A dedicated Onyx instance, deployed and maintained by us. Month to month, cancel whenever.